Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (3): 785-789.DOI: 10.11772/j.issn.1001-9081.2014.03.0785

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Tone mapping algorithm based on multi-scale decomposition

HU Qingxin,CHEN Yun,FANG Jing   

  1. School of Computer and Information, Hefei University of Technology, Hefei Anhui 230009, China
  • Received:2013-09-04 Revised:2013-11-13 Online:2014-03-01 Published:2014-04-01
  • Contact: CHEN Yun

基于多尺度分解的色调映射算法

胡庆新,陈云,方静   

  1. 合肥工业大学 计算机与信息学院,合肥230009
  • 通讯作者: 陈云
  • 作者简介:胡庆新(1965-),男,河北邯郸人,副教授,硕士,主要研究方向:信号与信息处理;陈云(1987-),男,安徽合肥人,硕士研究生,主要研究方向:信号与信息处理;方静(1979-),女,安徽安庆人,副教授,博士,主要研究方向:环境光学检测、图形图像处理。
  • 基金资助:

    国家自然科学基金资助项目

Abstract:

A new Tone Mapping (TM) algorithm based on multi-scale decomposition was proposed to solve a High Dynamic Range (HDR) image displayed on an ordinary display device. The algorithm decomposed a HDR image into multiple scales using a Local Edge-Preserving (LEP) filter to smooth the details of the image effectively, while still retaining the salient edges. Then a dynamic range compression function with parameters was proposed according to the characteristics of the decomposed layers and the request of compression. By changing the parameters, the coarse scale layer was compressed and the fine scale layer was boosted, which resulted in compressing the dynamic range of the image and boosting the details. Finally, by restructuring the image and restoring the color, the image after mapping had a good visual quality. The experimental results demonstrate that the proposed method is better than the algorithm proposed by Gu et al.(GU B, LI W J, ZHU M Y, et al. Local edge-preserving multiscale decomposition for high dynamic range image tone mapping [J]. IEEE Transactions on Image Processing, 2013, 22(1): 70-79) and Yeganeh et al. (YEGANEH H, WANG Z. Objective quality assessment of tone-mapped images [J]. IEEE Transactions on Image Processing, 2013, 22(2): 657-667) in naturalness, structural fidelity and quality assessment; moreover, it avoids the halo artifacts which is a common problem existing in the local tone mapping algorithms. The algorithm can be used for the tone mapping of the HDR image.

Key words: tone mapping, local edge-preserving(LEP) filter, high dynamic range(HDR) images, multi-scale decomposition, naturalness

摘要:

针对高动态范围(HDR)图像显示于普通显示设备的问题,提出一种新的基于多尺度分解的色调映射(TM)算法。首先利用局部边缘保留(LEP)滤波器对HDR图像进行多尺度分解,有效平滑了图像的细节同时保留了突出的边缘;根据分解后各层的特点和压缩的要求,提出一个带参数的动态范围压缩函数,通过变化参数以便压缩图像的粗尺度层并增强细尺度层,从而压缩图像的动态范围并增强细节;最后重组各层并恢复颜色,所得到的映射后图像具有良好的视觉效果。实验结果证明,该方法在自然度、结构保真度和整体的质量评价上都要优于Gu等(GU B, LI W J, ZHU M Y, et al. Local edge-preserving multiscale decomposition for high dynamic range image tone mapping [J]. IEEE Transactions on Image Processing, 2013, 22(1): 70-79)和Yeganeh等(YEGANEH H, WANG Z. Objective quality assessment of tone-mapped images [J]. IEEE Transactions on Image Processing, 2013, 22(2): 657-667)提出的方法,同时也避免了局部色调映射算法所普遍存在的光晕效应。该算法可以用于HDR图像的色调映射。

关键词: 色调映射, 局部边缘保留滤波器, 高动态范围图像, 多尺度分解, 自然度

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