Abstract This paper proposes a global backlight dimming algorithm based on structural similarity that controls the local distortion level of the output image for preserving overall image quality. Unlike existing methods, the proposed method non-iteratively determines a global clipping point that maintains structural similarity for each pixel above the desired level. The proposed method consists of three steps: region analysis, candidate clipping point calculation, and backlight luminance determination. In the first step, the structural similarity is analyzed based on various clipping points. In the second step, the proposed method estimates a candidate clipping point, which preserves the structural similarity index of each pixel above the desired level, based on the estimation of local statistics. Then, the proposed method determines a global clipping point based on a group of candidate clipping points. Finally, the output luminance is determined based on the selected global clipping point. Experimental results showed that the proposed method successfully maintained the structural similarity of each pixel above the desired level. In addition, the proposed method reduced the variation of minimum structural similarity by up to 94.7% compared to the benchmark methods.

中文翻译：

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控制输出图像容许局部失真调制的基于结构相似性的背光调光算法的性能分析

摘要 本文提出了一种基于结构相似性的全局背光调光算法，该算法控制输出图像的局部失真水平，以保持整体图像质量。与现有方法不同，所提出的方法以非迭代方式确定全局剪切点，该剪切点将每个像素的结构相似性保持在所需级别之上。所提出的方法包括三个步骤：区域分析、候选剪切点计算和背光亮度确定。第一步，基于各种剪裁点分析结构相似性。在第二步中，所提出的方法基于对局部统计的估计来估计候选剪裁点，该剪裁点将每个像素的结构相似性指数保留在期望水平之上。然后，所提出的方法基于一组候选剪切点来确定全局剪切点。最后，根据选定的全局剪切点确定输出亮度。实验结果表明，所提出的方法成功地将每个像素的结构相似性保持在所需水平以上。此外，与基准方法相比，所提出的方法将最小结构相似性的变化减少了高达 94.7%。