Yiwen Dou, Hong-Chao Miao, Li-ping Zhang, Jia-Le Gong, Journal of Information Processing Systems Vol. 20, No. 6, pp. 731-745, Dec. 2024  

https://doi.org/10.3745/JIPS.02.0223
Keywords: Low-illumination Image, Multi-Cues Fusion, Retinex
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Abstract

To improve the visual perception of low-illumination images, image enhancement is usually required after capturing low-illumination images. Although some popular image enhancement methods can obtain some advantages such as high pixel value, high denoising performance, and fast response time, it is not enough for them to achieve good visual effects overall. In this paper, a multi-cues fusion method is presented, which can get a better image enhancement result with limited time consumption. After undergoing homomorphic filtering, guided filtering and Retinex enhancement, three basic fusion source images for multi-cues fusion processing are shown clearly provided by the original low-illuminance color image. Then, components with similar frequency and orientation decomposition properties are fused together to reconstruct and eventually form an enhanced image after discrete wavelet decomposition and principal component analysis. In conclusion, experimental results obtained in the paper show clearly that the proposed method can improve the visual perception and hold the visual consistence in different illumination conditions. By qualitative and quantitative tests, the proposed method has many better advantages than those state-of-the-art algorithms.

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