摘要
针对高动态范围图像显现质量有待提高的问题,本文在色度亮度颜色空间中提出了一种基于协同滤波的色调映射算法。首先将输入的高动态范围图像利用色度亮度颜色空间来提取亮度信息和色度信息,然后分别将色度信息和亮度信息进行分解和重构。使用双边滤波技术对亮度信息分解得到亮度基本层和亮度细节层;根据亮度信息和色度信息大尺度边缘的一致性,构造一种色度亮度协同滤波的算法对色度信息进行分解,得到色度基础层和色度纹理层。最后对亮度信息和色度信息进行重构,再转换到RGB颜色空间输出最终的色调映射结果。客观指标计算结果显示,本文算法结果在图像质量分数、结构保真度和图像自然度上分别提高了25.24%,18.89%,45.89%,可以更好地保持边界细节和颜色信息。
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%,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.
作者
朱世松
秦嬴
郑艳梅
芦碧波
ZHU Shi-song;QIN Ying;ZHENG Yan-mei;LU Bi-bo(College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China)
出处
《液晶与显示》
CAS
CSCD
北大核心
2022年第1期77-85,共9页
Chinese Journal of Liquid Crystals and Displays
基金
国家自然科学基金(No.41773024)
河南省高等学校重点科研项目资助计划(No.21A520016)
2021年度河南科技智库调研课题(No.HNKJZK-2021-56C)。
关键词
高动态范围图像
色调映射
色度亮度空间
双边滤波
协同滤波
high dynamic rang image
tone mapping
chromaticity brightness color space
bilateral filtering
collaborative filtering
