Studying for the Enhancement Captured Images at Different LightnessDirections and Levels Distribution Based on Using Histogram EqualizationMethod

Abstract

In this research we study the effect of the light distribution on the quality of
captured images under different amount of lightness conditions then enhancing the
captured images by the imaging system using an adaptive histogram equalization
method and Lee method depending on the space YIQ depending on lightness
component where use the reverse of this space to the basic RGB color space, then
corrected using the mathematical model based on human vision system. The results
were analyzed and compute the quality of the enhancement images by using various
statistical criteria based on the mean and standard deviation. Adaptive histogram
equalization technique gives a high quality for the enhanced images for different
lightness conditions.