Low Illumination Image Enhancement Algorithm Combining Homomorphic Filtering and Retinex
Feifei Liu, Yaxin Xue, Xiangfei Dou, Zihan Li · 2021 International Conference on Wireless Communications and Smart Grid (ICWCSG) · 2021
Aiming at the problems of blurred details and dim colors in images under low illumination conditions, a low illumination image enhancement algorithm combining homomorphic filtering and Retinex is proposed in this paper. Firstly, in the RGB space of the original image, the homomorphic filtering algorithm based on wavelet transform and improved Butterworth filter is used to processes the image to obtain a detail-enhanced image; Secondly, in the HSV space of the original image, the Retinex algorithm based on the improved bilateral filter function is used to processes the V channel to obtains a color-enhanced image; Finally, the detail-enhanced image and the color-enhanced image are weighted and merged. Comparative experimental data shows that the improved algorithm can effectively enhance the details and colors of the image.