Retinex algorithm for image enhancement based on adaptive bilateral filtering

Abstract

According to the existing Retinex algorithm can not automatically adjust the parameters, an adaptive bilateral filter Retinex algorithm based on parameter estimation was proposed. Firstly, the principal component analysis and the Canny edge detection algorithm are used to estimate the noise and edge intensity. Then the spatial geometric standard deviation parameter and the luminance standard deviation parameter of the bilateral filter are calculated by linear correlation calculation. And the bilateral filter of the parameter estimation is used to decompose the image and the reflected image. Finally, the illumination image and the reflected image are compressed and enhanced in different ways and a new image is synthesized. The experimental results show that the algorithm can not only automatically set the parameters, but also effectively inhibit the halo phenomenon.

Keywords

• Retinex algorithm
• PCA
• canny algorithm
• bilateral filter
• vignetting