The subjective and objective quality of decompressed images can be improved by digital image post-processing algorithms of model-based edge.
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。
Traditional deformable model based segmentation is a method merely based on edge information, which does not make full use of image information.
传统的基于可变模型的分割方法是一种只基于边界信息的分割方法，就充分利用图像信息的角度来说有其局限性。
The HVS model is based on the computation of the noise visibility function (NVF) and embed at the texture and edge region stronger embedded watermarks.
模型基于噪声可见性函数(NVF)的计算来决定水印嵌入强度，使水印更多的嵌入到图像的纹理和边缘区域。
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