Tone mapping algorithm for luminance separated HDR rendering based on visual brightness functions

Tone mapping algorithms are used in image processing that reduces the range of high dynamic range (HDR) image to be displayed on low dynamic range (LDR) devices. The retinex method is one of the tone mapping algorithms to provide dynamic range compression, color constancy, and color rendition. It has been developed from single scale methods to multi-scale methods. Retinex algorithms still have drawbacks like the noise and desaturation. In this paper, we propose a new local tone mapping algorithm for enhancement of contrast, saturation, and noise of HDR rendered images. In proposed algorithm, an RGB image is converted into an HSV image. The V component provides intensity information of images and it can be easily used to estimate the global and local illuminants. The new algorithm introduces an adaptive gamma correction method as a function of local illuminants.