Unpaired strong-light image augmentation network with illumination curve

Fengyu Yang

doi:10.1117/12.2680099

31 May 2023 Unpaired strong-light image augmentation network with illumination curve

Fengyu Yang

Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127042F (2023) https://doi.org/10.1117/12.2680099
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China

Abstract

Images are a way for humans to get information, and they are ubiquitous in our daily lives. Compared to other media, we tend to get information through images. Most current image enhancement methods are based on Retinex theory. However, this method can easily lead to the loss of image information. More importantly, the theory is based on the assumption that light changes smoothly. And this assumption is very unfriendly to bright images. To solve this problem, an unpaired enhancement network for strong light image is proposed. The network consists of illumination curve, illumination loss function and illumination attenuation network. Experiments show that our network can obviously improve the image contrast caused by strong light environment, and significantly improve the quality of strong light image.

Citation Download Citation

Fengyu Yang "Unpaired strong-light image augmentation network with illumination curve", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127042F (31 May 2023); https://doi.org/10.1117/12.2680099

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