Result Analysis of Proposed Image Enhancement Algorithm Based on a Self Organizing Map Network and Wavelet Transform

Removing and reducing noise and improving thequality of image is very active research area inimage processing. Various applications requirevarious kinds of images as genesis of informationfor various works. Whenever an image is converteddegradation occurs at the output. The output imageprocessed through image enhancement for theremoval of degradation.The main aimof Imageenhancement is processingan image sothe outputresultwhile bemore suitable thanthe input imagefor specifictask. Wavelet transforms have becomeone of the most important and powerful tool ofsignal representation. It hasbeen used in imageprocessing, enhancement, data compression, andsignal processing. A processing of data throughwavelet is very efficient in process of neuralnetwork.This paperis written for thediscussion ofthe resultswhich are obtainedforproposedalgorithm for image enhancement based oncascading ofself organizingmap network andwavelet transformwhich is comparedtoexistingtechnique likehistogram equalization, and multi