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对视频编码系统的变换和量化过程的研究表明：基于ＤＰＣＭ和ＤＣＴ标准的编解码系统，在低码流时，由于较大的量化步长，高频成分量化不精确而损失较多，必然会造成解码图像的模糊。针对图像高频损失，应在解码图像后处理时合理地进行高频成分补偿。提出了一种可行、有效的图像清晰度增强方法。对解压缩图像的实验表明主观效果有明显地改善。
The research on the transform and quantization of video coding system shows that the coding and decoding system based on DPCM and DCT standard will lose more at low bit-stream due to the larger quantization step size and high-frequency component quantization inaccuracy Resulting in blurred image decoding. For high-frequency image loss, high-frequency components should be compensated rationally in the post-processing of the decoded image. A feasible and effective image sharpness enhancement method is proposed. Experiments on decompressed images show that subjective effects have been significantly improved.