Using The GIMP (or Photoshop) to Improve Photos?
Nom du Keyboard asks: "Is it possible to use The GIMP (or Photoshop) to improve my digital photos? I have a mid-range 7.1MP Olympus camera capable of shooting in Raw mode. When I inspected a section of clear blue sky on a bright, sunny day (which I've long believed to be relatively good reference of uniform color and brightness) I was surprised (disappointed, since I expect digital perfection) at the variance in adjacent pixels. It's also a quick way to identify any bad pixels. Surprisingly, actual photos from this camera look pretty good despite this variance so far. Moving on from that point it led me to wonder that, if you shot a uniform white surface, perhaps blurred as much as possible to avoid any imperfections in the surface itself, could a correction (adjustment) layer be created in GIMP or Photoshop exactly tuned to your camera that fixed the variations in your CCD sensor and improved the image quality in the process. Any thoughts?"
I don't know. Why don't you try it?
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That's an interesting idea, but it assumes some pretty clean conditions. The light has to be absolutely the same over the entire surface, it would probably need to be blurred as you said, the surface would have to be absolutely the same color everywhere (no dust, no marks), the surface would to be completely non-reflective, and probably some other things that I haven't thought of. It would be extremely hard.
It also assumes that the variations are always the same, and that the variations in your photos are from defects and not from the natural color differences in the real world and the digital camera's attempt to map them to a very restricted color palette.
"If you make people think they're thinking, they'll love you; But if you really make them think, they'll hate you." - DM
My digital rebel xti has software that lets you do what you describe. It's used to correct blemishes caused by dust particles on the sensor. In a regular imaging tool you could probably work out a similar fix by creating a mask that does some enhancements and whatnot where there are darker pixels. Just a guess, I've never done it.
What you describe is normal, and your question exhibits a lack of understanding about white ballence.
essentially, if your white is right, then all the other colors will be as well. your camera has several settings to compinsate for various light types (Tungsten, Flourescent, Daylight)Yours is probably set to AWB (Auto) which is easy - as the camera will figure it out pretty well and a Custom - which you can configure based on the lighting by shooting a grey card - which is a card that is 15% grey (Or there abouts) that the camera can then use to figure out what true white is.
The variation in pixels can also be the result of the ISO setting you are using. 100 has the least noise, but also requires longer exposures. higher settings react faster, but have more noise (400,800,1600) This is a tradeoff between desigered exposure and ambiant light.
I would suggest reading Strobist for more on lighting. There are also several other sites dedicated to post processing images, that you may find helpfull. it also might be worth looking at the various pool discucssion groups on Fliker.
-Peter
While playing with it a while ago, I found that JPGs compress something like 25-33% better after you remove the CCD noise. Improving the image quality while making the images take less space seems like a nice combination. :)
This seems like it would be great to get in the hands of more people as a free software app or plugin, but I'm not aware of any.
-- Aaron
Aaron
Using the sky or a white piece of paper may be interesting, but it probably won't give you anything you can use to calibrate the rest of your photos.
A better bet for isolating the noise your camera generates is to take completely black photos, using the lens cap and some extra covering (and a dark room) to make sure absolutely no light hits the sensors. This will let you make raw images of the "dark noise" and "bias noise" that your camera generates, and subtract those images from your real photos before doing any other processing.
Details of this method can be found here: http://photo.net/learn/dark_noise/.
If we saw a sample of the photos, it would be easy to determine if they could be fixed. Its hard to understand what the exact problem is from a text description, but the general answer is: Yes, anything can be done with The GIMP / PS.
Sigs are for Terrorists.
You're almost right. The method you're using is called Dark Frame Subtraction. The idea is that you photography the non-random noise inherent in the sensor and then take that out of the captured images. To do this, you make an image that is completely black (i.e. body cap on the front of the camera and viewfinder cover on the back) at the same temperature conditions and for the same length of shutter speed as the image you are trying to fix. Then you add that as a layer in photoshop, subtract it from the real image, and the non-random noise disappears.
However, it is MUCH more likely that the noise you are complaining about is random thermal noise, which is not treatable via Dark Frame Subtraction. Because it's, well, random noise, it'll be different in every shot. There are several photoshop plugins that can address this issue. In my opinion, the most effective and easiest to use of them is Noise Ninja.
You already can. Some cameras let you shoot against a blank white area to compensate for dust particles on the CCD. It's called "Dust Reference" in Nikon Capture, which works with most of their DSLRs.
The idea is to take a photo of a perfect white background and then again with the lens cap on (to catch hot pixels).
Another thing not commonly known is that the CCD imperfections vary based on temperature. You want to keep the sensor as cool as possible.
An article about correcting CCD variation
Vignettation Removal
-- these are only opinions and they might not be mine.
It is possible to smooth rough skies and such in Photoshop, I can't speak from personal experience with the GIMP but I'd expect something similar would work. I'd take the image, duplicate a regular (non-adjustment) layer on top of the main image, call that second one "smoothed"), blur it (Gaussian blur, fiddle with the radius to keep the effect gentle), add a layer mask to "smoothed" and paint it so that it only targets the sky in a shot. You may end up finding that you want to leave a little noise in the resulting image to avoid posterization, if your results are too smooth you can always adjust the opacity of the smoothed layer downward.
I'm a nature photographer.
Though I've never tried it myself, I have heard that you can take long-exposure photos with the lens cap on to reveal any consistent noise in your camera and filter it out. By using a long exposure, you can highlight which pixels are brighter than others, then use that image to mask out the same noise in your other photos.
a) If you are using anything above ISO50 on a cheap digital (like yours), you will get ISO noise
b) blue sky is not really blue, you can't expect 7.1 million pixels to all agree
c) there may have been microscopic dust on your lens
Basically, you're looking for your camera to be Adobe Illustrator, and it isn't.
I want to delete my account but Slashdot doesn't allow it.
Scale down the picture, choose cubic interpolation and you're done. You can't fix the original, the information is scrambled already, but you can use the information of the larger image to average the pixels of the small image to get something clean. When you read X mega-pixels, you should know that this is a scam. There are no camera out there that will give you an image usable at X resolution but you can still have pretty pictures at X/2 (which is roughly 3/4 of the side on the original).
If you're using windows you can download the .NET framework and grab Pain.net (http://www.getpaint.net/index2.html). I have it and it's great if you're familiar with MS paint. That with the ability to add different plugins makes it a wonderful free programs like GIMP.
In Soviet Russia, dots slash you!
Something similar is done in astrophotography. There are two kinds of fields you can remove from your images. A dark frame (taken with the lens cap on) is subtracted to remove things like pattern noise, hot pixels and amp glow that appears in images. A flat frame is then used to remove multiplicative effects, like vignetting and dust spots. Acquiring a flat frame can be tricky. One of the best ways is to use a translucent lens cap and a fairly bright light that provides a fairly uniform illumination.
However, the effects (unless there's something seriously wrong with your camera) are really only noticeable for long exposures.
First, the biggest improvement you are likely to see in the Gimp is if you go to Colour->Layers (in older versions of the Gimp it's Layers->Colours->Levels) and click Auto. For pictures that should contain some black and some white this will usually make a noticeable improvement.
Second, yes, Canon (for example) includes (Windows only, proprietary, secret, closed-source) software to compensate: you shoot a 25% grey surface. You can also use this inside the camera itself: there it will use the data for white balance correction.
In practice, though, it's fairly hard to do this yourself. One difficulty is that the amount and position of colour aberrationswill probably vary depending on the lens you use, or, with a fixed lens, the amount of zoom and the aperture size. I know I found that when my Casio developed some dark spots.
There are some programs that are used with hugin, the panorama stitching UI, that help with some lens corrections; it might be you could ask those people. However, a lot of the variation you are seeing is likely to be digital noise. Try taking 3 shots usinga tripod and timer or remote, and comparing them.
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Others have alluded to it already, but what you're asking for sounds exactly like noise reduction. And there's plenty of software out there that does that. The problem with noise reduction is that it reduces fine detail as well. (Although some software does a respectable job, it can't perform miracles.)
:-)
If you're concerned about noise, what nobody has pointed out yet is that you may want to consider a camera with fewer pixels, a physically larger sensor, or both. Cramming 7 million photosites on a tiny 1/2.5" sensor (yes, they are measured in a strange way--that translates to somewhere around 5.8 x 4.3mm) is a sure recipe for noise. However, there doesn't seem to be any slowing down to the megapixel race, as Sharp has just announced an eight megapixel sensor in this size.
Or, you just might be satisfied with the images you can get from your camera. As you've noticed, "actual photos" (which I assume to mean prints) still look good despite the noise clearly visible when viewing at actual pixels. Printing, especially at modest sizes (e.g. 4 x 6"), has a way of smoothing out the noise, so if you're not a "pixel peeper" you may never notice.
Cheers,
Jeremy
GREYCstoration. Ugly name, but does the same job, and is open source. Haven't tried it, but there appear to be several plugins for various open source digicam programs and image editors (bottom of their downloads page).
Slashdot - the place where you can look like a genius by restating the obvious
Pixels are not identical in their dark current and light sensitivity.
For information on correcting these issues which compound in long exposures, find a good astronomy photographers forum. They discuss taking long exposures of various times with the camera capped to identify bright (high dark current) pixels. They use these corrections in their star shots of the same exposure time to subtract out the brightness caused by high dark current pixels. In bright scenes the same thing can be done to correct for low sensitivity (low bright current) pixels. A way out of focus shot of a white screen with primary color filters or lighthing should be able to give you some good sensor correction factor data. Remember that the errors are temprature sensitive so a full correction may be hard to get.
The truth shall set you free!
You'd be just devastated if you blew a film image up to the level where you could see the grain.
Here are two questions for you:
1) Do you find that you are printing your images at sizes larger than 12x18?
If you are, then you probably ought to have more pixels (i.e., a better camera). I'm okay with digital pictures down to about 150dpi, others swear that you need 300+. Then again, there are people who swear that $3000 unobtainium coated silver strands wrapped in virgin PTFE and assembled when the planets are in alignement make their music sound better.
2) Presuming you are actually printing at at least 200dpi, can you really see the difference without a loupe on the final prints? I'm not worried about your monitor, because I'm going to bet that if you have a consumer-level camera, you're not doing photoediting on a 7.1MP monitor.
You see, if you can't tell, don't worry about it. Let your geek side go and spend more time in the field and less time in the darkroom. Seriously - unless you have significant image problems you can see in your final output, the camera and imaging is good enough. Go take some great pictures, and worry a bit less about having digitally perfect pixels.
Is it just my observation, or are there way too many stupid people in the world?
1. Open image file.
2. Duplicate layer.
3. Select the subject of your photo using the lasso tool. It doesn't need to be perfect, just outline it.
4. Go to Select -> Feather. Give it about 30px, when it asks.
5. Go to Layer - >New -> Layer Via Copy.
6. Go to the second layer, this one should be called "Background copy"...or whatever you renamed it.
7. Go to Filter -> Blur -> Gaussian Blur, and then blur that layer such that you can still make out shapes.
8. Save new image.
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Yes, your $1000 digital camera is not going to have a perfect CCD. There is no such thing as a perfect CCD. And I don't understand why you care unless you're trying to do science work with it. Look at it this way, no one is ever going to look at your picture and say its horrible because one pixel is slightly different than the one next to it. You look at the content of the whole photograph, not three pixels.
If you are trying to do science, then a DSLR is not what you need. DSLRs use Bayer interpolation to create a color image. This inherently kills your accuracy since not every pixel in the image is actually a pixel on the camera. CCDs used for astronomy (which cost more than your whole camera) do not do this and they still suffer from the effects you mentioned. Every exposure used for scientific work goes through a whole data reduction process that tries to remove as much noise as possible. Others have mentioned most of the process (bias frames, dark frames, and flat fields), but most astronomical CCDs also have an overscan region which is part of the CCD that is not exposed to light and is used to record the thermal noise on the CCD. This changes from exposure to exposure and from temperature to temperature (and yes I am a researcher in astronomy).
In short, there's no reason for you to care about this, and there's no chance of fixing this completely (CCDs are not digital - they're analog). There's also no way of applying the same solution to every photograph (and CCDs can change over time). Don't worry about pixel-to-pixel variations and just take photographs for their content. If you're really interested in how CCDs work, read the Handbook of CCD Astronomy by Steve Howell. Its a great introduction to CCDs and how to use them for astronomy.
oh wait, this is slashdot. any pictures of your mom's basement?
This will simply make your subject look like a cardboard cutout. It's a half-decent gimmick if you're doing webpage design, but useless for real photography.
Folks, if you want to isolate a subject, use a lens with a larger opening, narrower field of view, or just get closer to your subject.
It's noticeable that the tossers who ten years or so ago believed that buying a Leica or a Contax would suddenly make them great photographers (but not, somehow, learning to print which is hard work) now get together and boast about their megapixel count, monitor size and Photoshop add ons, but the pictures are still crap. Understanding CCDs is about as difficult as understanding the different grain types of different halide films, and they haven't the interest to do that. When I realised I was never going to be a great photographer I bought myself a small, simple, and so far very reliable Pentax digital and stopped worrying. I find that ceasing to worry about CCD behaviour (I did a lot of work on CCD imaging some years ago) doesn't make my photos any worse. A bit of colour balance, a bit of saturation control, a bit of scaling and getting the right DPI for the printer - all the average person really needs.
Pining for the fjords
I suggest reading this book for color management:
Color Management for Photographers: Hands on Techniques for Photoshop Users by Andrew Rodney.
The short gist is that you want to get a color calibrator like a Eye One Display II or a Colorvision Spyder2Pro to calibrate your monitor to a standard.
Second, you will want to get these two books for color correcting your images.
Photoshop LAB Color: The Canyon Conundrum and Other Adventures in the Most Powerful Colorspace by Dan Margulis
and
Professional Photoshop: The Classic Guide to Color Correction (5th Edition) by Dan Margulis.
These 3 books should be enough for a budding photographer to learn all the advanced techniques to get great results from your shots.
Another program you may want to look at is Bibble Labs RAW image editor. They have a Windows and Linux version.
http://www.dpreview.com/learn/?/Image_Techniques/N ight_Spots_01.htm
This should help. Its for long exposure shots but the same concept applies. Keep in mind that your camera sensor won't always show the same noise. So you'll probably end up doing this for every shot.
Can all fish swim?
The best way to improve your pictures is to learn something about composition and lighting. If the subject matter is good, you have a good picture.
You want better data? Get a better camera. Ditch that point-and-shoot for a DSLR, or even (gasp!) a film camera. My 50 year old Crown Graphic takes pictures that the very best DSLRs can only dream about.
...laura
I've done a lot of work with scientific grade CCDs and like other people are pointing out, there are unavoidable limits to the noise in your image. For a $50,000 scientific grade CCD, you are able to be cooled via solidstate (peltier) cooling down to around -50 degC, Using a LN2 dewar based unit, down to 77+ Kelvin. The rule of thumb is that dark current (thermal noise) reduces by a factor of 2 for every 5 degree (Kelvin) drop in the temperature of the CCD. The LN2 cooled cameras are how astro people get decent signal from very long (hours) exposures. So, take a picture of the sky on a very cold day in northern canada.
If all else fails, why not use Gimp (or Photoshop) to fix your pictures? One of the tools that I use almost too much is the selective Gaussian blur. You could select the sky with the magic wand and apply it as many times as needed. Or, if you don't have any clouds, why not just blur it?
Your post was a little offtopic; and now mine is WAY offtopic, but I have to respond. Hopefully the mods will look kindly and my "Offtopic" mods will equal my "insightful" for a break-even ;)
I disagree with your basic premise here completely. Everything you say about KNOWLEDGE is correct, but that doesn't address stupidity, which "Overzeetop"'s sig is about. There are indeed many more stupid people in the world than there used to be, and I put it down to many factors - a noticeable one that is different in today's society compared to the recent past being personal responsibility.
First let me define intelligence (and therefore also stupidity): The very definition of intelligence is debated and in some people's definition does include such things as knowledge. But if we're going for a "purist" definition, then it boils down to "the ability to figure stuff out" (reasoning). Naturally, those WITH more knowledge are likely to be more intelligent, and those who are intelligent will likely gain more knowledge, however knowledge itself is not a factor in the definition of intelligence itself.
Now, back to personal responsibility: Once upon a time, if someone did something stupid, they'd suffer the consequences for it. These days, they can blame others for their own mistakes. Because of this, they generally don't learn "the hard lessons" and will continue to do stupid things. So we can see from this that personal responsibility has a direct effect on learned intelligence. Now, there is also a direct effect the other way as well - those who are intelligent are less likely to blame others when they do something stupid once in a while, and they will learn "the hard lesson" from it. I put this down to innate intelligence (be it genetic or learned at a young age, that's a debate I won't discuss here).
Other factors which I'll mention, but not go in to such great depth on, include: less practical and more faith based adherence to religious ideals (somewhat related to personal responsibility); less importance placed on intelligence in many modern education systems (it's okay to be stupid; we'll teach you how to get by as you are); and games that don't include as much critical thinking in order to win (games of chance or reaction vs games of skill (I'm thinking mainly of non-computer games here, but it does apply to both)).
To try and save my "on-topicness" a little, I'll just say I agree completely with your analysis of people's lack of desire to learn about the things they need to know in order to be good at what they want to - they want an "easy fix". Some of this may actually fall back to my definition of stupidity above, but it probably falls more back to sheer laziness, which is closely related to stupidity and has many of the same factors, but I'd class as a mostly independent phenomenon.
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Lots of good advice, don't forget that sometimes you need to clean your sensor occasionally.
You can use a blower, or if you KNOW WHAT YOU'RE DOING, you can use a "PEC PAD" (lint-free optical cleaning cloth) and a few drops of some ultra-pure solvent like methanol (Eclipse brand for instance). Just put a drop on the cloth, wipe once in a uniform stroke, and throw it away.
To check for sensor dust: take a picture of the clear blue sky, about 2 stops overexposed, with the smallest possible aperture, and as misfocused as you can get it. Then load it into PS and run the unsharp mask with a fairly large radius. You'll see all the dust. You can't eliminate it, but you can reduce all the big chunks by blowing on and/or wiping the sensor.
This doesn't give you the non-uniform pixels you're seeing, but you might be surprised at just how filthy your sensor is if you've owned your camera more than a few months.
(Assuming you have an SLR where you can get to the sensor, of course)
You want better data? Get a better camera. Ditch that point-and-shoot for a DSLR, or even (gasp!) a film camera. My 50 year old Crown Graphic [graflex.org] takes pictures that the very best DSLRs can only dream about.
A view camera? What size is the film? I've been thinking of getting a 645 medium format with both film and digital backs. I think this size would be good for both large landscapes and photojournalism, I want to do both.
Falcon
Should there be a Law?
Yes something like that "should" work. I had some time on the scope on top of Van Allen Hall in Iowa City when I was in college, and before any space photos are taken, a reference photo or two are taken. This allows to adjust for oversensitive and dead pixels (well, it can't "fix" the dead pixel but I then know it's there..). I think it also allowed to adjust for temperature variaton across the CCD (but this won't help for your camera -- the temp would vary too much just moving the camera from one hand to the other 8-).
How does this transfer to a camera? I don't know. I think with the telescope CCD the references were essentially taken with the lens cap on, but I don't think a camera CCD will generate a useful reference photo in the dark (my el-cheapo digital camera, you can amplify a photo taken in the dark and you just end up with a bunch of noise lines from the camera electronics..), and in the light it's not a reference any more.
To see why pictures would look terrible without this natural variation, try taking a picture with a lot of 'uniform' sky and some land. Print one out as it comes and on the other, replace the sky with a 'perfect' blue where all the pixels are the same. Compare the two and decide which you prefer.
If you're at all serious about digital photography, particularly if you're leaning towards scientific applications like astrophotography, I'd recommend giving TIFF the flick. TIFF supports many different compression schemes including LZW (lossless) and JPEG (lossy). A number of cameras I've seen supporting TIFF are actually using TIFF/JPEG because they can use the same CODEC for generating their JPG files. TIFF is also limited to 8-bits per channel. Stick with your camera's RAW format, or if it has it FITS (unlikely).
What you use to edit your pictures will directly affect their quality as well. Sure, GIMP is free and I like it, but it is also limited to 8-bits per channel and so is again useless for quasi-scientific stuff. Photoshop still reigns here, but there are other free applications coming out that support 16-bits per channel like Krita (which actually supports up to 32-bits per channel in some color spaces).
I'm a bit baffled by your question. If I were you I'd pick up Professional Photoshop by Dan Margulis. It's the best color correction book out there. He'll answer your questions. As for what you said about the sky, cameras are different than the human eye, and with a wide angle lens the sky SHOULD have a variation in color. You can fix this with a mask. Refer to Margulis to see when this is appropriate and how it should be done.
Photos.
http://www.xnview.com/
There is software that does this already. What you want is Noise Ninja and DxO. Noise ninja can build a custom noise profile for your camera, and DxO can correct standard errors with lenses. DxO might not be available for your consumer camera.
Noise Ninja will compensate for the parts of your sensor that are naturally, always, noisy. DxO will correct vignetting and distortion from lenses.
Photos.
Canon has some software where you can calibrate your camera by taking a picture of a white screen....that is mainly for SLRs where you can get dust on the sensor or somewhere between the lens and the sensor.
I think what you want is something that removes what is called noise. For that I would use neatimage, noise ninja or GREYCstoration.
If you want high quality digital pictures, you must get a better digital camera. A point and shoot (such as a Olympus 7.1MP) will produce significantly lower image quality than a DSLR. You may be surprised, but a lower MP DLSR will take better pictures than a higher MP point and shoot.
Check out the reviews and especially the sample photos of the following:
Olympus E-330 Point and Shoot (7.4MP) Like to yours
Nikon D50 DSLR (6MP)
Canon XTi DSLR (10MP)
TIFF images actually support 16-bits. Higher-end scanners often save to 16 or 24 bit TIFF files which are editable in Photoshop and supported in some video compositing software as well. As for the original topic, if you are REALLY serious about image quality, forget the digital camera altogether. Get a medium or large format film camera and a good film scanner and learn to use those well. 645 format cameras can be had on eBay starting around US$300 for a decent outfit (body, lens, finder, film insert) and a decent consumer flatbed (I personally use a US$400 Epson 4990) will give you stunningly better results than any digital camera under US$10K. A 4x5 camera should run about the same used, and 4x5 transparencies are a thing of beauty. If you decide later to step up, professional digital backs are available for both medium and large-format bodies. Most of the work on my website is shot on medium format; I can print tack-sharp images poster size easily.
ballence, compinsate, ambiant, helpfull, discucssion, Fliker...
good god man.
There are three possible issues I can think of.
One, you might be taking pictures with the ISO (amplification) set too high. At extreme levels, this increases noise to easily visible levels (ever seen a picture taken by a camera phone?), but at modest settings a high quality digital SLR sensor (APS-C size or greater, or Olympus's 4/3 size) will provide very high quality at reasonable sizes.
Two, you're up against a fundamental limitation of quantum mechanics. Camera sensors work by essentially counting photons; the number of photons that accumulate at a given pixel give the brightness. Even though at a macroscopic scale this might be incredibly smooth on average, photon emission (and the photoelectric effect) is still a statistical process. The contribution from these effects should be minor on a truly uniform background, though, especially compared to thermal noise and process variation of the sensor itself.
Three, your camera will do its best to take exposures in such a way as to maximize contrast. Obviously, if you completely blow out the exposure, you'll get a swell, even (255, 255, 255) across the whole picture. But that's extremely useless.
In any case, a 7 megapixel image was never meant to be viewed at more than about 8x10. 4x6 prints will be very high quality, with the noise disappearing below the visual threshold. If you're filling your average monitor, you're already zoomed in more than you should be. If you're zooming in at 100%, in many cases you're looking at an image many times larger than it's intended to print.
Noise (entropy) is an inescapable fact of life, and it can't be gotten rid of short of cooling your camera down to absolute zero. (Not recommended, even for astrophotography buffs. Leave those particular extremes to the professionals.) For everyday photography, there's absolutely no need to go to extensive lengths to try and eliminate noise, because noise is random by definition. If there's no bias, you can't predict it, and thus can't remove it. If there were a 100% surefire way of removing noise, it'd be put on a chip and stuffed into cameras with truly horrible noise response to turn them into perfect cameras. It's a physically intractable problem.
Even if you left the lens cap on, you can repair the image the The GIMP. It does take some manual editing of the RBG values at each pixel location though.
I got only 6.3 MP (6.0 MP active, 6.1 MP claimed) on
a 23.5x15.7 mm chip. Your example was 7 MP on 5.8x4.3 mm.
Going by the 6.3 MP figure...
Mine is thus 58.56 square micrometers per pixel.
You example is only 3.56 square micrometers per pixel.
That is a factor of 16.44 difference.
Instead of bluring, save as a minimum-quality JPEG and then load it again.
As long as you maintain alignment with the 8x8 JPEG compression blocks (possibly 8x16, 16x8, or 16x16 in the chroma channels) you'll get very little additional loss from subsequent recompression. The high-frequency information is simply gone.
Now the non-critical parts of the image will compress really well.
No, it can't be done; the artifacts you want to eliminate aren't so consistent that you could prepare a canned antidote beforehand. There's special anti-noise software that works on RAW images and can make use of calibration shots. GIMP and Photoshop are best suited to laborious manual retouching, but of course you can integrate specialised anti-noise software into your Photoshop/GIMP workflow. (I'm not recommending a particular product because I don't have personal experience with such tools.) Either way, you're mostly enhancing the visual impression of clarity, not actually recovering information that was lost already. Some cameras have a mode that takes a second exposure with a closed shutter, which is mostly used to find hot pixels and correct the previous exposure. There are some problems that you can map out beforehand and generate data that's practically good forever. Lens distortion can be corrected in such a way, also sensor response curves and chromatic abberation. (Not that I'd recommend vanilla Photoshop or GIMP for that, but some of the specialised tools for that might be available as plug-ins.) However, what you're talking about is basically noise, which can't be eliminated like that. All you can do is gather some statistical data about it and use that to guide an anti-noise filter; it'll have to come up with a unique solution for each individual exposure though.
but what do i know, i'm just a model.
You're right, the bias isn't systematic and it won't work. My favourite way of getting an exposure as dark as possible is to use a camera that can shoot with the shutter closed; some can do that automatically right after a normal exposure in order to detect hot pixels. However, if you take an exposure that is "as light as possible", every pixel will be over-exposed to the max, so you'll get zero information. (Except you have a sensor with a really unusual fault.)
but what do i know, i'm just a model.
it lacks 16-bit support and color management. Most people won't need 16-bit support but if you plan on printing your photos or need to do drastic adjustments it's a must. And without color management your photos will look very different on other people's monitors or printers.
And let's not forget the atrocious printing with GIMP, compounded with both matters above.
There's a reason why PhotoShop is the most asked-for Linux application.
"We have an A-Bomb...what more do you want, mermaids?" --I.I. Rabi, speaking in defense of Robert Oppenheimer
The noise on even the highest quality CCDs will vary from image to image every time. There is no way to predict when and where a cosmic ray will hit your CCD. In spectral applications you can only identify them reliably by manual inspection and remove the spikes one by one manually, replacing them with surrounding background or signal if present. Software can be used to remove them, but it is about as effective and accurate as click and pop removal from audio tracks, which leaves a lot to be desired.
shooting a white surface might not be enough. The errors might affect different colour pixel (red, green or blue) differently.
It's helpful if you can do your own darkroom work.
I have worked in darkrooms developing film and prints, however it's been too long since I have. There's a photographer association in the area, IFP Minneasota, I've been thinking of joining. It has classes and a darkroom I would be able to use after taking a darkroom orientation, which I'd need to take. Eventually I'd like to build and setup a darkroom in my basement
You mentioned medium format, and used medium format gear is cheap nowadays
I've looked at some used medum format gear sold by a local chain of photography shoppes, National Camera Exchange, or NatCam
. If I get one, I'll definitely need to take a class at IFP Minneasota to learn to use it, all I've ever used are 35 mm slrs. I'd also like to get a dslr and take a class for it as well, however for now at least I'll stick to film.I liken the Pentax 67 to photography's answer to a Humvee - it's big, heavy, black, ugly and noisy, but it gets the job done, every time.
It's funny but while I like large laptops, big screen real estate, I'd rather have smaller camera bodies. I'd like to take my camera with me when I go hiking, and be able to take hand held photos. Another thing I'd like to do is get a good telescope with a camera mount so I can photo the stars.
FalconShould there be a Law?
Too many people attempt astrophotography, find it's far harder than it looks, and give up in frustration. Please don't be one of those people.
...laura
Thanks for the warning, I'll try not to take it as a challenge. Now that you mention it, I couldn't point out and identify any stars now other than the North Star. I used to know some, but not now. Then again growing up I was in a model rocktry club. I'd also go out at night and lay on the ground staring at the stars. Occassionally I'd get to see a rocket launch, back then I lived maybe an hour from the Capes, Cape Canaveral and Cape Kennedy.
FalconShould there be a Law?
It is not really clear just what the problem with your image might be from what you write. For example, the higher the ISO value you shoot with, the nosier an image will be. Increased sensivity comes at the price of more cross talk between pixel sites on the CCD resulting in noise in the image. ISO 100 should be quite clean on most modern cameras, but ISO 1600 is likely to be problematic. Another possible problem could be your lens. If the "variance" you mention is distributed around the edges and especially in the corners of the image, then you have vignetting which is due to the lens. If you are shooting jpegs rather than RAW, the compression may produce artifacts that appear as noise as well. Then again, just how much did you magnify the image when you "inspected" it? Also, the sky really isn't uniform in either brightness OR colour. An exposure of a clear northern sky around noon is going to provide the most uniform colour and lighting in natural light.
There are a large number of ways that a photo can be "improved" using just GIMP or Photoshop or any number of other equivalent programs (FOSS or proprietary). But advise will only be as good as the description of the problem you provide.
------ The only greater hazard to your liberty than n politicians is n+1 politicians.
> When I inspected a section of clear blue sky on a bright, sunny day (which I've
> long believed to be relatively good reference of uniform color and brightness)
Wow, this internet thing is great. I love the fact that we're able to communicate with one another, despite the fact that we apparently inhabit completely different worlds, if not alternate universes.
On Earth, the sky is nothing if not variegated.
If you want uniform color and brightness, photograph a natural cavern several levels down from the surface. Don't use a flash.
Cut that out, or I will ship you to Norilsk in a box.