WCSE

Remote Sensing Image Enhancement Based on MSR and CLAHE

Abstract— In view of the common problems of low contrast and color distortion in remote sensing images, this paper proposes a remote sensing image enhancement algorithm combining the improved contrast-limited adaptive histogram equalization (CLAHE) and multi-scale retinex (MSR) algorithms. First, the CLAHE algorithm is performed on remote sensing images for color distortion, and then a color recovery factor is introduced for color correction. Secondly, the multi-scale retinex algorithm is performed on the remotely sensed image in HSV color space to improve the image contrast as well as equalize the brightness. Finally, weighted fusion is performed according to certain image fusion rules. In this paper, the best fused image is obtained by image fusion, combined with the algorithm characteristics. Through subjective and objective comparison experiments with other traditional image enhancement algorithms, the results show that the algorithm proposed in this paper makes the image contrast enhanced, can restore the real color, greatly retain the image details, improve the image information entropy, greatly improve the image viewing experience, and lay a good foundation for the subsequent image processing.

Index Terms— remote sensing image, image enhancement, MSR, CLAHE

Caixia Meng
School of Computer Science & Technology Xi’an University of Posts & Telecommunications
Jiabao Zhang
School of Computer Science & Technology Xi’an University of Posts & Telecommunications
Hongpeng Chu
School of Computer Science & Technology Xi’an University of Posts & Telecommunications
Kaijie Xi
School of Computer Science & Technology Xi’an University of Posts & Telecommunications
Bing Zhao
School of Computer Science & Technology Xi’an University of Posts & Telecommunications

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Cite: Caixia Meng, Jiabao Zhang, Hongpeng Chu, Kaijie Xi, Bing Zhao, " Remote Sensing Image Enhancement Based on MSR and CLAHE, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 501-506, Sanya, China, April 15-18, 2022.