Image enhancement method based on perceptual excitation mapping and gradient attenuation

Tong Yu; Li Guo

doi:10.1117/12.2626466

21 December 2021 Image enhancement method based on perceptual excitation mapping and gradient attenuation

Tong Yu, Li Guo

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 1215616 (2021) https://doi.org/10.1117/12.2626466
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

Aiming at the problem of unclear observation of low-illuminance images under complex exposure conditions, this paper transforms the image to be processed into the brightness space, and uses the principle of perceptual excitation model to design a brightness mapping function to adjust the dynamic range of image pixels. At the same time, the bias power function is introduced, and the gradient image of the image is obtained through the Poisson equation. Through the adaptive gradient attenuation method, the brightness step phenomenon of the image is suppressed in the gradient domain, and the severe color fluctuation of the exposure edge is effectively controlled, and the image is strengthened. The ability of detail representation and the harmony of the overall color. Experimental results show that this method can effectively enhance low-illuminance images, avoid the interference of high-exposure sources on the global image channel, retain high details, and colors are naturally coordinated, and the overall visual effect of the processed image is good.

Citation Download Citation

Tong Yu and Li Guo "Image enhancement method based on perceptual excitation mapping and gradient attenuation", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 1215616 (21 December 2021); https://doi.org/10.1117/12.2626466

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