Performance Evaluation of Enhancement Algorithm for Contrast Distorted Images

Abstract

The digital cameras have played the crucial role for the revolutionary growth of digital platform. The digital cameras capture the high-resolution images. But still, it is prone to the noise that might be due to improper acquisition settings, light conditions or any other noise artifacts. In this paper, our work was focused to improve the contrast and preserving the brightness in digital images. Firstly, the illumination was estimation through 2D-discrete wavelet transform. From the obtained value, logarithmic scale was calculated. The logarithmic scale is used to expand the dark scales in the image. With the obtained scale parameter, adaptive gamma correction was implemented. The nature of gamma was automated through logarithmic scale for each input image. The experiments were conducted on the TID2008 database. In comparison to the published algorithms, our proposed method had proved to be effective. The performance of the proposed method was measured from peak SNR, absolute mean brightness error, image quality index and entropy.