在人脸序列的图象编码中，由于模型基编码方法可以获得高的主观图象质量和低的码率，因而受到广泛重视。
Model based facial image coding has received extensive attention due to its high subjective image quality and low bit rates.
着重讨论了基于视觉特性的图象质量测度，它们与主观评价具有很好的相关性；
Most emphases are placed on the measures of the image quality based on the visual system models, which have better correlation with the subjective evaluation.
通过对CT、MRI图象进行实验表明，在相同的客观条件控制下，该方法能够取得较好的主观视觉质量。
The experiments are done on the medical images including CT and MRI. The results show that under common objective conditions, the method used in the paper can achieve better subjective visual quality.
实验结果表明，该算法能有效地减少方块效应，且能改善译码图象的信噪比和主观视觉质量。
Experimental results show that the proposed method can significantly reduce blocking artifacts and improve PSNR and visual quality.
实验结果表明，该算法能有效地减少方块效应，且能改善译码图象的信噪比和主观视觉质量。
Experimental results show that the proposed method can significantly reduce blocking artifacts and improve PSNR and visual quality.
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