哪种色调映射算子最好？知觉质量的比较研究
Which tone-mapping operator is the best? A comparative study of perceptual quality
摘要：
色调映射算子（TMO）的目的是从高动态范围的图像生成感知相似的低动态范围的图像。我们在两个心理物理实验中研究了15个TMO的性能，观察者将数字生成的色调映射图像与其相应的物理场景进行了比较。所有的实验都是在一个受控的环境中进行的，设置的目的是强调不同的图像属性：在第一个实验中，我们评估了强度水平之间的局部关系，在第二个实验中，我们评估了物理场景和色调映射图像之间的全局视觉外观，它们并排呈现。我们根据TMO再现物理场景中获得的结果的程度对它们进行了排名。我们的研究结果表明，排名的位置显然取决于所采用的评价标准，这意味着，在一般情况下，这些色调映射算法考虑局部或全局图像属性，但很少两者兼而有之。我们的结论是，需要一个更全面和标准化的评估标准，以研究所有的特点，因为有足够的改进空间，在未来的发展。
英文摘要：
Tone-mapping operators (TMO) are designed to generate perceptually similar low-dynamic range images from high-dynamic range ones. We studied the performance of fifteen TMOs in two psychophysical experiments where observers compared the digitally generated tone-mapped images to their corresponding physical scenes. All experiments were performed in a controlled environment and the setups were designed to emphasise different image properties: in the first experiment we evaluated the local relationships among intensity-levels, and in the second one we evaluated global visual appearance among physical scenes and tone-mapped images, which were presented side by side. We ranked the TMOs according to how well they reproduce the results obtained in the physical scene. Our results show that ranking position clearly depends on the adopted evaluation criteria, which implies that, in general, these tone-mapping algorithms consider either local or global image attributes but rarely both. We conclude that a more thorough and standardized evaluation criteria are needed to study all the characteristics of TMOs, as there is ample room for improvement in future developments.
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