Image coding approach based on image decomposition

Yunhui Shi, Yanli Hou, Baocai Yin, Wenpeng Ding
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Abstract

Textures in many images or video scenes are difficult to code because of the large amount of visible detail. This paper proposes an image coding approach to solve this problem, in which we incorporate image decomposition and texture synthesis technology into the image coding framework. The key idea of our approach is to first decompose the original image into cartoon component u and texture component v with different basic characteristics, and then to synthesize the selected texture regions in texture component v. The cartoon component u and the non-synthetic regions in texture component v are compressed by JPEG. Experimental results show bit-rate savings of over 30% compared with JPEG at similar visual quality levels.
基于图像分解的图像编码方法
由于大量的可见细节,许多图像或视频场景中的纹理很难编码。为了解决这一问题,本文提出了一种图像编码方法,将图像分解和纹理合成技术融入到图像编码框架中。我们的方法的关键思想是首先将原始图像分解为具有不同基本特征的卡通分量u和纹理分量v,然后在纹理分量v中合成选中的纹理区域。卡通分量u和纹理分量v中的非合成区域通过JPEG进行压缩。实验结果表明,在相似的视觉质量水平下,比特率比JPEG节省了30%以上。
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