Research on Ambient Region of Edge Model-Based Compression Using JPEG
边缘模型基背景区的JPEG压缩方法研究

Model-based coding is recognized to be a perspective method of low bit-rate image compression method. Due to some merits which cannot be drawn a parallel with ordinary, Edge Model-based Coding is given more and more attention by researchers now. In such method, the ambient region of Edge Model-based whose most of the higher frequency is cut has a smooth gray change in background. The area which was left is about 10 percent of the whole image. In this paper, in order to compress the ambient image by traditional JPEG method, we present a sensitive region filling method by using 8×8 block filled with DC. Thus the blank area which was filled can provide as much DC as possible. At the receiver, the sensitive region is added to the decompressed ambient region. Experiments and data show that the filled image is adapt to be compressed by using JPEG and can get good compression ratio, simultaneously the subjective quality of reconstructed image is also better than that of by using JPEG directly.