作为图像处理领域中一项基础而且富有挑战的工作，客观图像质量评价自动评价图像质量使得符合人眼视觉特性。
Objective image quality measure, which is a fundamental and challenging job in image processing, evaluates the image quality consistently with human perception automatically.
基于边缘模型重建的数字图像后处理算法可以改善高倍压缩图像的主观和客观质量。
The subjective and objective quality of decompressed images can be improved by digital image post-processing algorithms of model-based edge.
目前，大部分PIT技术未能充分考虑人眼视觉特性，只注重重构图像的客观质量。
At present, only the objective quality of the reconstructed image rather than the characteristic of human sight is considered with most of the existing PIT techniques.
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