Image Restoration Based on Hybrid Ant Colony Algorithm
Abstract: Image restoration is
the process to eliminate or reduce the image quality degradation in the digital
image formation, transmission and recording and its purpose is to process the
observed degraded image to make the restored result approximate the un-degraded
original image. This paper, based on the basic ant colony algorithm and
integrating with the genetic algorithm, proposes an image restoration
processing method based on hybrid ant colony algorithm. This method transforms
the optimal population information of genetic algorithm into the original
pheromone concentration matrix of ant colony algorithm and uses it to compute
the parameters of degradation function so as to get a precise estimate of the
original image. By analyzing and comparing the restoration results, the method
of this paper can not only overcome the influence of noises, but it can also
make the image smoother with no fringe effects in the edges and excellent
visual effects, verifying its practicability.
Author: Yan Feng, Hua Lu and
Xiliang Zeng
Journal Code: jptkomputergg150143
