Analyze the Performance of Bio-Medical Image Compression Technique using Particle Swarm Optimization

Digital images are characterized by multiple parameters. Medical science is one of the most interesting fields for the image compression actually related to the health care sector unit. We proposed a comparative model for the Bio-medical image compression which is better in the terms of result by measuring performance evaluation parameters to increase the value of Peak Signal Noise Ratio, Compression ratio etc. The all experimental process done with these images and finally we compare the all result evaluation performance parameter and chosen the best performance parameter value for the designed proposed techniques.