Multi-exposure images coding for efficient high dynamic range image compression

Jhih-You Deng, J. Chiang
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引用次数: 2

Abstract

High dynamic range (HDR) images attract growing attention in many practical applications by offering an extended dynamic range, and an improved visual experience accordingly. Because of the expense and rarity of HDR cameras, many studies generate HDR images using several low dynamic range (LDR) images with different exposures. In this paper, we propose a technique to compress the multi-exposure images in an efficient way. Then HDR image generation, as well as multi-exposure fusion can be realized in the decoder. The multi-exposure images are encoded by MV-HEVC and the inter-view redundancy will be well exploited by converting the intensity of the reconstructed base view with the help of an accurate intensity-mapping function. Compared to the scenario by encoding the generated HDR image with HEVC range extension, experimental results show that the proposed technique achieves better coding efficiency.
多曝光图像编码实现高效的高动态范围图像压缩
高动态范围(HDR)图像通过提供更大的动态范围和更好的视觉体验,在许多实际应用中越来越受到关注。由于HDR相机的昂贵和稀有,许多研究使用不同曝光的低动态范围(LDR)图像生成HDR图像。本文提出了一种有效压缩多曝光图像的方法。然后在解码器中实现HDR图像的生成以及多曝光融合。利用MV-HEVC对多曝光图像进行编码,利用精确的强度映射函数对重构基视图的强度进行转换,充分利用视场间冗余。实验结果表明,与对生成的HDR图像进行HEVC范围扩展编码的方案相比,该方法具有更好的编码效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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