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Edge Oriented Compression Coding on Image Sequence
作者姓名:ZHANG Zhao  yang  GAO Lei  ZHANG Ying  CHEN Hao
作者单位:School of Communication and Information Engineering,Shanghai University
摘    要:1 Introduction Inimagecompressioncodingschemes,variousimagecodingtechniquessuchastransformcodinghavebeendeveloped.Whilethesetechniqueshaveledtorelativelyhighqualityreconstructedimagesatbitratesaround1.0b/pixelormore,theysometimesproducespecifictypeof…

收稿时间:28 September 1998

Edge-oriented compression coding on image sequence
ZHANG Zhao,yang,GAO Lei,ZHANG Ying,CHEN Hao.Edge Oriented Compression Coding on Image Sequence[J].Journal of Shanghai University(English Edition),1999,3(3):208-213.
Authors:Zhao-yang Zhang  Lei Gao  Ying Zhang  Hao Chen
Institution:School of Communication and Information Engineering,Shanghai University
Abstract:An edge oriented image sequence coding scheme is presented. On the basis of edge detecting, an image could be divided into the sensitized region and the smooth region. In this scheme, the architecture of sensitized region is approximated with linear type of segments. Then a rectangle belt is constructed for each segment. Finally, the gray value distribution in the region is fitted by normal forms polynomials. The model matching and motion analysis are also based on the architecture of sensitized region. For the smooth region we use the run length scanning and linear approximating. By means of normal forms polynomial fitting and motion prediction by matching, the images are compressed. It is shown through the simulations that the subjective quality of reconstructed picture is excellent at 0.0075 bit per pel.
Keywords:video coding  image compression  very low bit  rate  edge  oriented coding
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