| 基于五株采样提升算法的图像二叉分解与重构 |
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| 引用本文： | 邵海梅,李飞鹏,秦前清.基于五株采样提升算法的图像二叉分解与重构[J].武汉大学学报(信息科学版),2004,29(7):628-631,634. |
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| 作者姓名： | 邵海梅 李飞鹏 秦前清 |
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| 作者单位： | 1. 武汉大学数学与统计学院,武汉市珞珈山,430072
2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 基金项目： | 武汉大学知识创新工程基金资助项目 ( 90 42 70 0 72 ) |
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| 摘 要： | 提出了一种基于五株采样的提升算法，实现了一分为二的分解与重构。通过此算法可以构造非线性的形态小波变换，保持图像的几何信息。
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| 关 键 词： | 五株采样 提升算法 小波变换 形态小波变换 |
| 文章编号： | 1671-8860(2004)07-0628-04 |
Bi-graph Image Decomposition Based on Quincunx Sampling Lifting Scheme |
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| SHAO Haimei,LI Feipeng,QIN Qianqing.Bi-graph Image Decomposition Based on Quincunx Sampling Lifting Scheme[J].Geomatics and Information Science of Wuhan University,2004,29(7):628-631,634. |
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| Authors: | SHAO Haimei LI Feipeng QIN Qianqing |
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| Institution: | SHAO Haimei 1 LI Feipeng 2 QIN Qianqing 2 |
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| Abstract: | This paper presents a bi-graph image decomposition based on quincunx sampling lifting scheme, which decomposes an original image to a lower-resolution one and a different one between the original image and the lower-resolution image. The proposed scheme is of low-complexity and need not allocate additional memory.This paper introduces some simple examples, such as linear mean-lifting, nonlinear max-lifting and min-lifting. Mean-lifting is good at erasing redundant data, and max-lifting or min-lifting can effectively preserve important geometric information. |
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| Keywords: | quincunx sampling lifting scheme wavelet transform morphological wavelet |
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