Research on Low Illumination Image Processing Algorithm Based on Adaptive Parameter Homomorphic Filtering

For the problems of traditional homomorphic filtering algorithm, multiple parameters, experiential param-eter values and parameter control difficultly, an adaptive pa-rameter homomorphic filtering image enhancement algorithm is proposed. On the Processing of Transfer Function, it simpli-fies the traditional Gaussian homomorphic filtering transfer function to a single parameter exponential transfer function compared with exponential transfer function, and the optimal value of the single parameter in the low illumination image is obtained by peak signal to noise ratio (PSNR) and structural similarity (SSIM), so parameters only change with the change of image, which improves the universality of the algorithm. The experimental results show that the proposed adaptive parameter homomorphic filtering algorithm has good effect on the enhancement of low-illumination images.