Robust contrast enhancement of noisy low-light images: denoising-enhancement-completion

Abstract

A robust contrast enhancement algorithm for noisy low-light images, called the denoising-enhancement-completion (DEC), is proposed in this work. We observe that noise components in low-light images degrade the performance of the contrast enhancement. Therefore, we first reduce noise components in an input image. Then, we compute the reliability weight for each pixel, by measuring the difference between the input image and the denoised image, and categorize each pixel into one of two classes: noise-free or noisy. We perform the selective histogram equalization to enhance the contrast of the noise-free pixels only. Finally, we restore missing values of the noisy pixels using the enhanced noise-free pixel values, by employing a low-rank matrix completion scheme. Experimental results show that the proposed DEC algorithm removes noise and enhances the contrast of low-light images more effectively than conventional algorithms.