Colour image Enhancement using Background Brightness Preserving Histogram Equalization

Abstract

Histogram Equalization (HE) is generally used to upgrade the image contrast yet it has a tendency to over enhance the image background brightness. BBHE (Bi Histogram Equalization) has broken down and proposed scientifically that it may be preserved original brightness to a certain limit. On the other hand, still cases are not handled well by the BBHE, as they are requiring preservation of higher degree. Particular paper has proposed novel augmentation of BBHE, which alluded to as the MMBEBHE (Minimum Mean Brightness Error Bi Histogram Equalization) to give maximum brightness preservation. BBHE isolates the input image's histogram into two in depend on input mean before leveling with them freely. Enhancement schemes have been presented with minimum defects of the conventional HE, yet the over enhance of the background brightness is still self-evident. A novel methodology of nonlinear HE is displayed, which has the capacity to enhance the image contrast, while preserving the background brightness for images with very much characterized background brightness.