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Particle Swarm Optimization for Picture Analysis

Roland Piquepaille writes "Particle swarm optimization (PSO) is a computer algorithm based on a mathematical model of the social interactions of swarms which was first described in 1995. Now, researchers in the UK and Jordan have carried this swarm approach to photography to 'intelligently boost contrast and detail in an image without distorting the underlying features.' This looks like a clever concept even if I haven't seen any results. The researchers have developed an iterative process where a swarm of images are created by a computer. These images are 'graded relative to each other, the fittest end up at the front of the swarm until a single individual that is the most effectively enhanced.'"

2 of 90 comments (clear)

  1. Wow by Izabael_DaJinn · · Score: 5, Insightful

    I love an article on digital imaging technology that has no pictures. This is 2008. Send out your press release with a photo...of something...anything.

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    Careful What You Wish For....
  2. Not exactly comprehensive by vikstar · · Score: 5, Informative

    For more detail, including the citation of the paper, see this http://www.primidi.com/2008/02/03.html

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    The question of whether a computer can think is no more interesting than the question of whether a submarine can swim.