Certain investigations and analysis of progressive transmission of enhanced images

Abstract

Present day applications require various kinds of images and newlinepictures as sources of information for interpretation and analysis This newlineresearch analyzes a better method to transmit the image through a channel newlineFor this first the image is enhanced to get a better quality then compressed to newlinereduce the memory needed for storage and transmission and finally an error newlinecontrol coding technique is included to control the error occurring during newlinetransmission Histogram equalization is simple and effective contrast newlineenhancement technique but it does not preserve the image brightness To newlineovercome this issue Contrast Stretching Recursively Separated Histogram newlineEqualization CSRSHE method is proposed for brightness preservation and newlineimage contrast enhancement This algorithm applies a two stage approach a newlinenew intensity is assigned to each pixel according to an adaptive transfer newlinefunction that is designed on the basis of the global and local statistics of the newlineinput image and then Performing recursive mean separate histogram newlineequalization based on a modified local contrast stretching manipulation newline newline