Aerial Image Enhancement based on YCbCr 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 study, a new method was proposed to enhance aerial images. The proposed method is enhanced the light value (Y) in the YCbCr color transform by using the Sigmoid function mapping and Adaptive Histogram Equalization techniques, While the chromatic compounds (CbCr) are enhanced by Dark Channel Prior (DCP). To know the efficiency of enhancement, the no-reference quality measures as Entropy and Average Gradient (AG) have been calculated, which are used to see the quality of the proposed method in comparison with Image Entropy and Information Fidelity (IEIF), Multiscale Retinex with color restoration (MSRCR), Color Enhancement Scene Estimation (CESE), traditional (DCP), and Histogram Equalization (HE). From the results, it is found that the proposed method has succeeded in enhancing the aerial images better than other methods. Where it had high values for the rate for Entropy (7.73) and AG (68.75).