Swarm intelligence
A UK and Jordanian project has used ‘Swarm Intelligence’ to clean up digital photographs.
This novel approach bases a mathematical model on the social interaction of swarms. Called Particle Swarm Optimization (PSO) to create a specially designed algorithm to treat many images. The algorithm will accept each individual image as a member of a swarm. It would then make single, small adjustments to contrast levels, edge sharpness, and other image parameters. The algorithm then determines whether the new members of the swarm are better or worse than the original according to an objective fitness criterion.
Published in Inderscience's International Journal of Innovative Computing and Applications, the team from the Al-Balqa Applied University in Jordan and the De Montfort University in the UK wrote: "The objective of the algorithm is to maximise the total number of pixels in the edges, thus being able to visualise more details in the images.”
Enhancing photography
The process of enhancing step-by-step is repeated to create a swarm of images in computer memory which have been graded relative to each other, the fittest end up at the front of the swarm until there is a single individual photo that is the most effectively enhanced.
"The obtained results using grey scale images indicate that PSO is better than other approaches in terms of the computational time and both the objective evaluation and maximisation of the number of pixels in the edges of the tested images," they added.
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Date Published: February 01, 2008
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