Aerial Image Enhanced by Using Dark Channel Prior and Retinex Algorithms Based on HSV Color Space

Abstract

Enhancing aerial images plays an important role in many remote sensing applications; aerial images are often affected by dust, smoke and fog. In this paper, a new algorithm was proposed to improve aerial images. The proposed algorithm using Dark Channel Prior (DCP) to enhance the color compounds only in HSV space and a Multiscale Retinex (MSR) using to enhance the lightness component in the same space. To know the efficiency of enhancement aerial images, the no-reference quality measures as Natural Image Quality Evaluator (NIQE) and Wavelet Quality Evaluator (WQE) Have been calculated, which are used to see the quality of the proposed method in comparison with DCP, Histogram equalization (HE), Image Entropy and Information Fidelity (IEIF) and Multiscale Retinex with color restoration (MSRCR). Through the analysis of the results, it is found that the proposed method has succeeded in improving aerial images better than other methods.