Tone mapping algorithm with chromaticity brightness collaborative filtering

In view of the problem that the quality of high dynamic range image appearance needs to be improved, a tone mapping algorithm based on collaborative filtering is proposed in the chromaticity brightness color space. Firstly, the brightness and chromaticity information are extracted from the input high dynamic range image using chromaticity brightness color space. Then, they are reconstructed and decomposed, respectively. Bilateral filtering technology is utilized to decompose the brightness information and obtain the brightness basic layer and brightness detail layer. According to the consistency of the large-scale edge of brightness and chromaticity information, a chromaticity brightness collaborative filtering algorithm is constructed to break down the chromaticity information, and obtain the chromaticity base layer and chromaticity texture layer. Finally, the brightness and chromaticity information are reconstructed and converted to the RGB color space to output the final tone mapping results. The results of objective index show that our proposed algorithm is improved by 25.24%0,18.89% and 45.89% respectively in image quality score, structural fidelity and image naturality. Therefore, the boundary details and color information can be better maintained.