A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual System
A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual System
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DOI：
10.1109/tie.2017.2760247
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发表时间：
2018-04-01
影响因子：
7.7
通讯作者：
Abed, Fidaa
中科院分区：
文献类型：
--
作者：
Khan, Ishtiaq Rasool;Rahardja, Susanto;Abed, Fidaa
高动态范围（HDR）图像需要色调映射才能在较低动态范围设备上正确显示。本文提出了一种利用亮度直方图构造色调映射查找表的色调映射算法。利用人类视觉系统（HVS）的特性，在构造直方图箱时，更加重视视觉上可区分的强度。该方法开始于使用被感知为由HVS均匀间隔的箱来构造亮度通道的直方图。接下来，使用细化步骤，其从HVS无法区分的仓中移除像素。最后，可用的显示级别在与像素计数成比例的箱中分布，从而适当考虑图像中每个箱的视觉贡献。使用定量评估和用户研究的质量评估表明，所提出的算法产生色调映射的图像是视觉上愉快的，并保留原始图像的细节比现有的方法更好。最后给出了该算法在GPU上的并行处理实现细节，与基于CPU的实现相比，该算法在速度上有明显的提高。
High-dynamic-range (HDR) images require tone mapping to be displayed properly on lower dynamic range devices. In this paper, a tone-mapping algorithm that uses histogram of luminance to construct a lookup table (LUT) for tone mapping is presented. Characteristics of the human visual system (HVS) are used to give more importance to visually distinguishable intensities while constructing the histogram bins. The method begins with constructing a histogram of the luminance channel, using bins that are perceived to be uniformly spaced by the HVS. Next, a refinement step is used, which removes the pixels from the bins that are indistinguishable by the HVS. Finally, the available display levels are distributed among the bins proportionate to the pixels counts thus giving due consideration to the visual contribution of each bin in the image. Quality assessment using both quantitative evaluations and user studies suggests that the presented algorithm produces tone-mapped images that are visually pleasant and preserve details of the original image better than the existing methods. Finally, implementation details of the algorithm on GPU for parallel processing are presented, which could achieve a significant gain in speed over CPU-based implementation.