基于亮度分区模糊融合的高动态范围成像算法

doi:10.11772/j.issn.1001-9081.2019061032

计算机应用 ›› 2020, Vol. 40 ›› Issue (1): 233-238.DOI: 10.11772/j.issn.1001-9081.2019061032

• 虚拟现实与多媒体计算 • 上一篇下一篇

基于亮度分区模糊融合的高动态范围成像算法

刘颖^1,2, 王凤伟¹, 刘卫华^1,2, 艾达^1,2, 李芸³, 杨凡超³

1. 西安邮电大学通信与信息工程学院, 西安 710121;
2. 电子信息现场勘验应用技术公安部重点实验室(西安邮电大学), 西安 710121;
3. 中国科学院光谱成像技术重点实验室(中国科学院西安光学精密机械研究所), 西安 710119

收稿日期:2019-06-19 修回日期:2019-08-14 出版日期:2020-01-10 发布日期:2019-09-29
作者简介:刘颖(1972-),女,陕西户县人,高级工程师,博士,主要研究方向:图像检索;王凤伟(1992-),女,河北衡水人,硕士研究生,主要研究方向:高动态范围图像、图像融合;刘卫华(1977-),女,陕西西安人,副教授,博士,主要研究方向:高动态范围图像、图像融合、图像去噪;艾达(1973-),男,陕西西安人,高级工程师,博士,主要研究方向:数字图像处理;李芸(1984-),女,陕西西安人,副研究员,主要研究方向:成像系统;杨凡超(1987-),男,陕西西安人,助理研究员,博士,主要研究方向:成像系统。
基金资助:
国家自然科学基金资助项目（61802305）；陕西省教育厅专项科研计划项目（18JK0716）；公安部科技强警基础工作专项项目（2018GABJC39）；西安邮电大学研究生创新基金资助项目（CXJJLY2018028）。

High dynamic range imaging algorithm based on luminance partition fuzzy fusion

LIU Ying^1,2, WANG Fengwei¹, LIU Weihua^1,2, AI Da^1,2, LI Yun³, YANG Fanchao³

1. College of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an Shaanxi 710121, China;
2. Key Laboratory of Electronic Information and Application Technology for Scene Investigation, Ministry Public Security(Xi'an University of Posts and Telecommunications), Xi'an Shaanxi 710121, China;
3. Key Laboratory of Spectral Imaging Technique, Chinese Academy of Sciences(Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences), Xi'an Shaanxi 710119, China

Received:2019-06-19 Revised:2019-08-14 Online:2020-01-10 Published:2019-09-29
Contact: 王凤伟
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61802305), the Special Scientific Research Project of Shaanxi Provincial Education Department (18JK0716), the Special Project of Basic Work of Strengthening Police by Science and Technology of the Ministry of Public Security (2018GABJC39), the Graduate Innovation Fund for Xi'an University of Posts and Telecommunications (CXJJLY2018028).

摘要/Abstract

摘要： 针对单幅图像生成高动态范围（HDR）图像进行直方图扩展时，造成的色彩失真、局部细节信息丢失的问题，提出了一种基于亮度分区融合的高动态范围图像成像算法。首先，提取正常曝光彩色图像的亮度分量，根据亮度阈值将亮度分成两个区间；然后，对两个区间的图像用改进的指数函数扩展其亮度范围，使得低亮度区域的亮度增加、范围扩大，高亮度区域的亮度减小、范围扩大，从而增大图像的整体对比度，保留色彩和细节信息；最后，将扩展后的图像和原始正常曝光的图像基于模糊逻辑的方法融合为高动态图像。分别从主观和客观两方面对所提算法进行了分析。实验结果表明，所提算法能够有效地扩展图像的亮度范围，并保持场景的颜色信息和细节信息，生成的图像视觉效果更佳。

关键词: 高动态范围图像, 亮度分区, 指数扩展, 模糊逻辑, 图像融合

Abstract: To solve the problems of color distortion and local detail information loss caused by the histogram expansion of High Dynamic Range (HDR) image generated by single image, an imaging algorithm of high dynamic range image based on luminance partition fusion was proposed. Firstly, the luminance component of normal exposure color image was extracted, and the luminance was divided into two intervals according to luminance threshold. Then, the luminance ranges of images of two intervals were extended by the improved exponential function, so that the luminance of low-luminance area was increased, the luminance of high-luminance area was decreased, and the ranges of two areas were both expanded, increasing overall contrast of image, and preserving the color and detail information. Finally, the extended image and original normal exposure image were fused into a high dynamic image based on fuzzy logic. The proposed algorithm was analyzed from both subjective and objective aspects. The experimental results show that the proposed algorithm can effectively expand the luminance range of image and keep the color and detail information of scene, and the generated image has better visual effect.

Key words: High Dynamic Range (HDR) image, luminance partition, exponential expansion, fuzzy logic, image fusion

中图分类号:

TP391.413

刘颖, 王凤伟, 刘卫华, 艾达, 李芸, 杨凡超. 基于亮度分区模糊融合的高动态范围成像算法[J]. 计算机应用, 2020, 40(1): 233-238.

LIU Ying, WANG Fengwei, LIU Weihua, AI Da, LI Yun, YANG Fanchao. High dynamic range imaging algorithm based on luminance partition fuzzy fusion[J]. Journal of Computer Applications, 2020, 40(1): 233-238.

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基于亮度分区模糊融合的高动态范围成像算法

High dynamic range imaging algorithm based on luminance partition fuzzy fusion

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