Recycling of Histogram Bins for Improving Image Contrast

Abstract

A Digital Image Usually Has 8 Bits Of Depth Basically Representing Pixel Intensity Ranging For [0 255]. These Pixel Ranges Allow 256 Step Levels Of Pixel Values In The Image. Thus The Grayscale Value For A Given Image Is An Integer. When We Carry Out Interpolation Of A Given Image For Down Sampling We Have To Round The Interpolated Value To Integer Which Can Result In Loss Of Quality On Perceived Color Values. This Paper Proposes A New Method For Recovering This Loss Of Information During Interpolation Process. By Using The Proposed Method The Pixels Tend To Regain More Original Values Which Yields Better Looking Images On Down Sampling.