PARTICLE SWARM OPTIMIZATION TECHNIQUE A SOFT COMPUTING TOOL FOR DENOISING IMAGES
Particle Swarm Optimization technique, a new evolutionary soft computational technique, has been used to eliminate the random noise present in the bio-medical images. The reconstructed images have been compared to the presently available technique such as Median Filter, etc. The results indicate that the proposed technique is a simple and accurate model to eliminate noise from highly corrupt images. This proposed method has been tested with other images including medical images like mammograms.