Low illumination color image enhancement based on Gabor filtering and Retinex theory

Author:

Wang Ping,Wang ZhiwenORCID,Lv Dong,Zhang Chanlong,Wang Yuhang

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference23 articles.

1. Cai J, Gu S, Zhang L (2018) Learning a deep single image contrast enhancer from multi-exposure images. IEEE Trans Image Process c 1:1–14

2. Guo C, Li C, Guo J et al (2020) Zero-reference deep curve estimation for low-light image enhancement. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition:1780–1789

3. Hao W, Ye Z, Honghai S et al (2017) Overview of image enhancement algorithms. China Optics 10(04):438–448

4. Huijuan T, Minpeng C, Tao G et al (2020) Research on Retinex low-light image enhancement method based on YCbCr color space. Acta Photonica Sinica 49(02):173–184

5. Jang CY, Hyun J., Cho S., et al (2012) Adaptive selection of weights in multi-scale Retinex using illumination and object edges. IPCV

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