A Study of Single Image Haze Removal Using a Novel White-Patch Retinex-Based improved Dark Channel Prior Algorithm

Abstract

In this study, we introduce an algorithm which is based on a series of well-known algorithms and mainly uses an improved dark channel prior algorithm and the White-Patch Retinex algorithm (both are heterogeneous algorithms) in order to effectively remove the haze from a single image. When used in conjunction with a heterogeneous architecture, the value of the algorithm becomes even greater. With an effective design and a novel procedure, the proposed algorithm can not only restore a clear image, but also solve the halo effect, color distortion, and long operating time issues resulting from the dark channel prior. Rich experimental results (visually and numerically) confirm that the performance and effectiveness of the new algorithm are better than those of the dark channel prior algorithm, indicating the applicability of the new algorithm.