An Automated Contrast Enhancement Approach for Aerial Images
Ahmed E Elaraby, Hela Elmannai, Reem Ibrahim Alkanhel, Ahad Fahd Basaqr · Traitement du signal · 2025
Real-world applications benefit greatly from aerial imagery.Various modern applications utilizing aerial images; however, these images are often low-contrast due to imperfect atmospheric conditions and limitations in the imaging systems.Many methods exist to enhance the quality of aerial images, yet not all of them capable of producing desired results.Some may have high complexity, and others may require numerous inputs.On the other hand, it is observed that a low-contrast impact that is difficult to prevent throughout the data collection process degrades the quality of aerial images a lot.As a result, in this paper a novel method for improving aerial image contrast has been presented.Hence a two-phase approach for increasing contrast and remapping the intensities of an aerial image to its native dynamic range has been presented in this paper.Additionally, a regularization technique is provided using the two-step regularization and mapping procedures.For image quality assessment (IQA), two performance assessment metrics; measure of enhancement (EME) and Structural SIMilarity (SSIM) have been suggested to measure the quality of the results of the proposed algorithm.The experimental results indicate that the proposed approach increases the contrast of aerial image substantially as compared with other widely contrast enhancement methods.