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基于像素纹理分类的图像预测编码方法
引用本文:徐燕凌,刘蓓. 基于像素纹理分类的图像预测编码方法[J]. 计算机工程与应用, 2008, 44(6): 62-64. DOI: 10.3778/j.issn.1002-8331.2008.06.018
作者姓名:徐燕凌  刘蓓
作者单位:同济大学软件学院,上海,201804;同济大学软件学院,上海,201804
基金项目:航天卫星预研项目资助。
摘    要:JPEG-LS标准实现对静止图像的无损压缩以及近无损高保真压缩,其预测编码仅采用简单的中值边缘检测法。将充分利用邻域像素纹理的连续性与相关性,研究参考像素的选取、基于纹理信息的非线性分类预测器的构建与预测器参数的设计,增强梯度检测能力,提出新的四阶分类预测器。实验证明,该算法在低运算复杂度的前提下,有效提高了预测编码的性能。

关 键 词:图像  预测  编码  纹理
文章编号:1002-8331(2008)06-0062-03
收稿时间:2007-09-11
修稿时间:2007-12-25

Predictive image coding scheme based on pixel texture classification
XU Yan-ling,LIU Bei. Predictive image coding scheme based on pixel texture classification[J]. Computer Engineering and Applications, 2008, 44(6): 62-64. DOI: 10.3778/j.issn.1002-8331.2008.06.018
Authors:XU Yan-ling  LIU Bei
Affiliation:School of Software Engineering,Tongji University,Shanghai 201804,China
Abstract:JPEG-LS standard performs lossless and near-lossless high quality compression for still images.Its predictive coding is based on simple median edge detection scheme,but the redundancy is not well reduced.This paper explores the continuity property and the relativity of local pixel texture.It studies the selection of reference pixels,construction of texture-based nonlinear classification predictor,and design of prediction parameters.The gradient detection capability is enhanced,and a new four-order classification predictor is proposed.It is confirmed that the prediction performance is effectively promoted with low operation complexity.
Keywords:image  predictive  coding  texture
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