Low visual difference virtual high dynamic range image synthesizer from a single legacy image
Low visual difference virtual high dynamic range image synthesizer from a single legacy image
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DOI：
10.1109/icip.2011.6116090
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
Tsun-Hsien Wang;C. Chiu
中科院分区：
文献类型：
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作者：
Tsun-Hsien Wang;C. Chiu
新一代显示技术相较于传统显示设备显著提高了动态范围。当前的逆色调映射方案需要多幅低动态范围（LDR）曝光图像来生成高动态范围（HDR）图像。在这项工作中，我们提出一种依赖曝光的S曲线，将一幅优化的LDR图像转换为多幅不同亮度的图像，然后将它们融合成一个具有宽动态范围的虚拟真实场景HDR图像。根据我们的实施结果，动态范围可达到约105。该合成器稳健且在时间上连贯，不需要针对特定图像进行参数调整。本文还介绍了使用HDR视觉差异预测器（HDR - VDP）和相对熵对比度进行的图像质量评估，并且在这两种图像质量评估中，我们的工作比其他逆色调映射算子（iTMOs）具有更好的性能。
New generations of display technologies provide signicantly improved dynamic range over conventional display devices. Current inverse tone mapping schemes require multiple exposure low dynamic range (LDR) images to generate high dynamic range (HDR) images. In this work, we propose an exposure dependent S curve to convert one optimized LDR image to multiple images with different brightness, which are then fused into a virtual real scene HDR image with wide dynamic range. According to our implementation results, the dynamic range can reach about 105. The synthesizer is robust and temporally coherent, and does not require image specific parameter adjustment. This paper also presents the image quality assessment with HDR visual difference predictor (HDR-VDP) and relative entropy contrast, and our work has better performance than other inverse tone mapping operators (iTMOs) for the both image quality assessments.