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

机译:多曝光图像编码可实现高效的高动态范围图像压缩

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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.
机译:高动态范围(HDR)图像通过提供扩展的动态范围并相应地改善了视觉体验,在许多实际应用中引起了越来越多的关注。由于HDR相机的昂贵和稀有性,许多研究使用具有不同曝光量的几个低动态范围(LDR)图像来生成HDR图像。在本文中,我们提出了一种有效压缩多曝光图像的技术。然后,可以在解码器中实现HDR图像生成以及多重曝光融合。多曝光图像由MV-HEVC编码,通过在精确的强度映射功能的帮助下转换重建的基本视图的强度,可以很好地利用视图间冗余。与通过HEVC范围扩展对生成的HDR图像进行编码的方案相比,实验结果表明,该技术具有更好的编码效率。

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