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Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition

机译:基于二叉树分解的图像的损坏压缩压缩

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A new lossy-to-lossless quality-progressive method for image coding is presented. This method is based on binary tree decomposition and context-based arithmetic coding. Experimental results obtained with the eighteen 8-bit ISO images show that the proposed method attains an average lossless compression gain of 7.9% with respect to JPEG2000. Compared to JPEG-LS, the compression gain is 3.1%, but this compression standard does not allow lossy-to-lossless decoding
机译:提出了一种新的损失对图像编码的质量逐步逐步逐步方法。 该方法基于二叉树分解和基于上下文的算术编码。 利用十八个8位ISO图像获得的实验结果表明,所提出的方法相对于JPEG2000达到7.9%的平均无损压缩增益。 与JPEG-LS相比,压缩增益为3.1%,但这种压缩标准不允许损坏无损解码

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