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Color image coding based on linear combination of adaptive colorspaces

机译:基于自适应色彩空间线性组合的彩色图像编码

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This paper improves a colorization-based image coding using image segmentation and adaptive colorspaces. Recently, various approaches for color image coding based on colorization have been presented. These methods utilize a YCbCr colorspace and transfer the luminance component by a conventional compression method. Then, the chrominance components are approximated from the luminance component using a colorization method. Our method segments a luminance component into small segments called superpixels, and reconstructs the chrominance of each superpixel as a linear combination of its luminance. For chrominance components, we introduce an adaptive color space transform optimized for liner combination. This is because YCbCr colorspace cannot always become a good approximation of the chrominance. In addition, we introduce an automatic selection for the number of superpixel segments from a given quality factor. The simulation with standard images shows that our method performs better result than conventional coding schemes.
机译:本文使用图像分割和自适应色彩空间改进了基于着色的图像编码。近来,已经提出了用于基于着色的彩色图像编码的各种方法。这些方法利用YCbCr色彩空间并通过常规压缩方法来传递亮度分量。然后,使用着色方法从亮度分量近似色度分量。我们的方法将亮度分量分成称为超像素的小段,并将每个超像素的色度重建为其亮度的线性组合。对于色度分量,我们引入了针对衬纸组合优化的自适应色彩空间变换。这是因为YCbCr色彩空间无法始终成为色度的良好近似。此外,我们针对给定的品质因数自动选择了超像素段的数量。用标准图像进行仿真表明,我们的方法比常规编码方案具有更好的结果。

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