Adaptive image decomposition method based on credible data fitting with local total variation

被引：1

作者：

CHEN Ya ^{[1
]}

GUO Qiang ^{[2
]}

ZHOU Yuanfeng ^{[1
]}

LI Xuemei ^{[1
]}

ZHANG Caiming ^{[1
,2
]}

机构：

[1] Department of Computer Science and Technology, Shandong University

[2] Shandong Provincial Key Laboratory of Digital Media Technology, Shandong University of Finance and Economics

来源：

ComputerAidedDrafting,DesignandManufacturing | 2012年 / 04期

关键词：

image decomposition; adaptive filter; integral image; Gaussian filter;

D O I：

10.19583/j.1003-4951.2012.04.003

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

In this paper we present a novel image decomposition method via credible data fitting with local total variation filter. The oscillation rate is used to measure the image complexity and characteristics. The filter parameter can be determined by a fitting curve which is reconstructed by oscillation rate. In addition, the approximate Gaussian algorithm and integral image are used to reduce the algorithm computation and the sensitivity of the filter window selection. Experiments show the new method is better than the existing methods.

引用

页码：11 / 15

页数：5

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