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自适应分形矢量量化编码
引用本文:洪喜勇,陈贺新.自适应分形矢量量化编码[J].吉林工学院学报,2001,22(4):46-50.
作者姓名:洪喜勇  陈贺新
作者单位:吉林大学信息学院 吉林长春130025 (洪喜勇),吉林大学信息学院 吉林长春130025(陈贺新)
摘    要:提出了一种自适应分形矢量量化编码方法。对图像进行自适应四叉树分割,并构造粗糙的均值图像。误差图像进行分形矢量量化编码时,使用设计的自适应二维维纳数字滤波器,对收缩的均值图像进行滤波后,可构造好的码书。实验证明,本方法码书不需外部训练,解码不需要迭代,可以改善重建图像的视觉质量,使压缩比和PSNR都有明显提高。

关 键 词:自适应分形矢量量化编码  分形编码  图像数据压缩  均值图像
文章编号:1006-2939(2001)04-0046-05
修稿时间:2001年7月9日

A Self-Adaptive Algorithm of Fractal Vector Quantization for Image Coding
HONG Xi-yong,CHEN He-xin.A Self-Adaptive Algorithm of Fractal Vector Quantization for Image Coding[J].Journal of Jilin Institute of Technology,2001,22(4):46-50.
Authors:HONG Xi-yong  CHEN He-xin
Abstract:A self-adaptive algorithm of fractal vector quantization for image coding is proposed. A self-adaptive quad-tree is used to partition the original image, then structured coarsely mean value image. When coding the erroneous image by fractal vector quantization, a self-adaptive 2-D wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook. Computer simulation of encoding and decoding show that no training is needed to obtain the codebook in encoding, and decoding can be done without iteration. The method makes better the visual quality of the reconstructed image and improves the compression ration and PSNR.
Keywords:self-adaptive  fractal vector quantization  coding
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