High Lightness Image Enhancement Using Adaptive Histogram Equalization Algorithm


The Principle objective of Images enhancement is to process an image so that result is more suitable than original image for specific application. This search describe a new image enhancement algorithm which is apply to enhance low lightness images called adaptive histogram equalization AHD algorithm dependent on YIQ color space via processed only lightness component then used inverse transformation from YIQ color space to basic color space and color correction dependent on retinex theory. The results was compared with Histogram Equalization HE algorithm by calculate normalize mean square error NMSR between processed images and original images with fair lightness, histogram of both method enhancement was a account. Adaptive algorithm has best efficiency in enhanced low lightness compared with HE algorithm.