Tone mapping algorithm with chromaticity brightness collaborative filtering

Shi-song ZHU; Ying QIN; Yan-mei ZHENG; Bi-bo LU

doi:10.37188/CJLCD.0221-0190

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Tone mapping algorithm with chromaticity brightness collaborative filtering

Image Processing | 更新时间：2022-01-19

- Tone mapping algorithm with chromaticity brightness collaborative filtering
- Chinese Journal of Liquid Crystals and Displays Vol. 37, Issue 1, Pages: 77-85(2022)
- 作者机构：
  
  河南理工大学计算机科学与技术学院, 河南焦作 454000
- 作者简介：
- 基金信息：
  
  Supported by National Natural Science Foundation of China(41773024);Funding Plan for Key Scientific Research Projects of Henan Province(21A520016);Henan Science and Technology Think Tank Research Project in 2021(HNKJZK-2021-56C)
- DOI：10.37188/CJLCD.0221-0190
  CLC： TP391.41
- Received：14 July 2021，
  
  Revised：16 August 2021，
  
  Published：2022-01
- 稿件说明：
移动端阅览
Shi-song ZHU, Ying QIN, Yan-mei ZHENG, et al. Tone mapping algorithm with chromaticity brightness collaborative filtering[J]. Chinese journal of liquid crystals and displays, 2022, 37(1): 77-85.
DOI：

Shi-song ZHU, Ying QIN, Yan-mei ZHENG, et al. Tone mapping algorithm with chromaticity brightness collaborative filtering[J]. Chinese journal of liquid crystals and displays, 2022, 37(1): 77-85. DOI： 10.37188/CJLCD.0221-0190.

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。

Abstract

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.

关键词

Keywords

references

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Related Institution

College of Computer Science and Technology， Henan Polytechnic University

Microelectronics Research & Development Center, Shanghai University

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