Nonlinearity of transform tone distortion white balancing Contrast enhancementusing generalized equalization

Abstract

Generalized equalization model is proposed for image and video enhancement. Based on our analysis on therelationships between image histogram and contrast enhancement/white balancing, is established by integrating contrastenhancement and white balancing into a unified framework of convex programming of image histogram. The imageenhancement tasks can be accomplished by the proposed model using different configurations of parameters. With two definingproperties of histogram transform, namely contrast gain and nonlinearity, the model parameters for different enhancementapplications can be optimized. And then deriving an optimal image enhancement algorithm that theoretically achieves the bestjoint contrast enhancement and white balancing result with trading-off between contrast enhancement and tonal distortion.