Dequantization bias for JPEG decompression

J. R. Price, M. Rabbani
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引用次数: 3

Abstract

Standard JPEG decompression reconstructs quantized DCT coefficients to the center for the quantization bin. This fails to exploit the nonuniform distribution of the AC coefficients. Assuming a Laplacian distribution, we derive a maximum likelihood estimate of the Laplacian parameter, based on the quantized coefficients available at the decoder, and use this estimate to optimally bias the reconstruction levels during decompression. As a decoder enhancement, this technique is fully compatible with the JPEG standard and does not modify the JPEG compressed bit stream. Extensive simulations indicate that, at typical compression ratios, biased reconstruction results in modest PSNR improvements-about 0.25 dB or higher-and slight subjective improvements, for little or no computational cost. Furthermore, simulations show that the PSNR improvements are very close (within 0.07 dB) to the best theoretically possible.
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JPEG解压缩的去量化偏差
标准JPEG解压缩将量化的DCT系数重建到量化bin的中心。这不能利用交流系数的非均匀分布。假设存在拉普拉斯分布,我们基于解码器中可用的量化系数推导出拉普拉斯参数的最大似然估计,并使用该估计在解压缩期间对重建级别进行最佳偏置。作为一种解码器增强技术,该技术与JPEG标准完全兼容,并且不修改JPEG压缩比特流。大量的模拟表明,在典型的压缩比下,偏置重构导致适度的PSNR改善(约0.25 dB或更高)和轻微的主观改善,几乎没有计算成本。此外,仿真表明,PSNR的改进非常接近(在0.07 dB以内)的最佳理论可能。
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