Optimal image enhancement method based on histogram analysis

Abstract

In this paper, a generalized equalization method is proposed for image enhancement. In digital cameras, the image is stored as a raw image file, which has wider dynamic range and preserves much information about the captured image so that the bit-length will be too long for normal display. The image can be converted into suitable dynamic range by tone mapping method. This method maps a set of colors into another to approximate the high dynamic range images. Tone mapping algorithms uses two techniques, they are white balancing and contrast enhancement. The proposed method uses both white balancing and contrast enhancement method as a combined framework. This method analyzes the relationship between histogram and white balancing/contrast enhancement. The enhancement method is focused on haze images. Simulation results show better performance in image enhancement.