Almost impossible? Well if you're blind. The difference between 16-bit and 24-bit is obvious. We don't use graduated indexes to store color data. Resolution is very important as well. If you have 100 pixels to go from blue to black, it doesn't matter if you have a trillion colors. You only have 100 levels. Make it a thousand, and the section of a 16-bit spectrum that represents blue to black becomes inadequate. The higher the resolution, the more colors you need. Now since there is no circumstance that causes us to see indexed colors in what we see, we do not have digital vision. TV has low resolution, but lots of colors, so it looks ok. If you gave a computer a 600 by 320 screen and infinite colors, it would look ok, just a little fuzzy up close.
MJJ But Master! If you're so powerful, then why are you stuck down here?
This is very interesting. Perhaps the variable timing of rod recharge can be interpreted by the brain as improved frame rate. Studies have been done that show the eye jots around what it sees and takes in detail of a small portion of the image. So that initial 200x200 enhanced to 5000x5000 image is then enhanced section by section as the eye focusses on parts in a non-ordered fashion. So if you stand in front of a painting and look at it, your eye is resolving the image more and more accurately the more you look at it. The same thing is true of staring at the head of a pin. First it's blurry, then you focus. Some of that is adjusting focus, some is the gradual resolving of the image. Back on the topic of human memory, think about all the little details you remember about last weekend. What you did, who you saw. That is the 2-bit per second memory. Now recall everything you know about your favorite song. You know the melody, the lyrics, the beat, effects, maybe the music video, you recall images, times you listened to the song, who you were with. What you recall about a song or a movie or a TV show, or a news article or a web page can fill a lot of data if it is forced into binary. Take the tune of the song. Now first we must describe each note in binary, so assign a number of bits that can describe how well you know each note. 8? 16? Assume the song has a refrain, so part of the song is repeated and hence not new memory. Fur Elise has 17 core notes, making for 204 bits if we differentiate to 12 bit music. Now we know the instruments, how they sound for the song. Describing that in binary can eat up data pretty fast, but we only remember a few samples from the song. My point is that in just a well remembered song we can eat up a meg or more. Know a hundred songs? Well there's a hundred meg. Know your profession? How about movies? A well recalled clip, image, quote, all times the number of movies or shows remembered. We can recall the tone of voice used, the plot summary, and tons more. There is no way this data could be stored in binary form and not take up gigs. Over a lifetime, the 13TB figure seems resonable.
Slashdot Mirror
Almost impossible? Well if you're blind.
The difference between 16-bit and 24-bit is obvious. We don't use graduated indexes to store color data. Resolution is very important as well. If you have 100 pixels to go from blue to black, it doesn't matter if you have a trillion colors. You only have 100 levels. Make it a thousand, and the section of a 16-bit spectrum that represents blue to black becomes inadequate. The higher the resolution, the more colors you need. Now since there is no circumstance that causes us to see indexed colors in what we see, we do not have digital vision. TV has low resolution, but lots of colors, so it looks ok. If you gave a computer a 600 by 320 screen and infinite colors, it would look ok, just a little fuzzy up close.
MJJ
But Master! If you're so powerful,
then why are you stuck down here?
This is very interesting. Perhaps the variable timing of rod recharge can be interpreted by the brain as improved frame rate. Studies have been done that show the eye jots around what it sees and takes in detail of a small portion of the image. So that initial 200x200 enhanced to 5000x5000 image is then enhanced section by section as the eye focusses on parts in a non-ordered fashion. So if you stand in front of a painting and look at it, your eye is resolving the image more and more accurately the more you look at it. The same thing is true of staring at the head of a pin. First it's blurry, then you focus. Some of that is adjusting focus, some is the gradual resolving of the image.
Back on the topic of human memory, think about all the little details you remember about last weekend. What you did, who you saw. That is the 2-bit per second memory. Now recall everything you know about your favorite song. You know the melody, the lyrics, the beat, effects, maybe the music video, you recall images, times you listened to the song, who you were with. What you recall about a song or a movie or a TV show, or a news article or a web page can fill a lot of data if it is forced into binary. Take the tune of the song. Now first we must describe each note in binary, so assign a number of bits that can describe how well you know each note. 8? 16? Assume the song has a refrain, so part of the song is repeated and hence not new memory. Fur Elise has 17 core notes, making for 204 bits if we differentiate to 12 bit music. Now we know the instruments, how they sound for the song. Describing that in binary can eat up data pretty fast, but we only remember a few samples from the song. My point is that in just a well remembered song we can eat up a meg or more. Know a hundred songs? Well there's a hundred meg. Know your profession? How about movies? A well recalled clip, image, quote, all times the number of movies or shows remembered. We can recall the tone of voice used, the plot summary, and tons more. There is no way this data could be stored in binary form and not take up gigs. Over a lifetime, the 13TB figure seems resonable.