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

作     者：CHEN Ya GUO Qiang ZHOU Yuanfeng LI Xuemei ZHANG Caiming 

作者机构：Department of Computer Science and Technology Shandong University Shandong Provincial Key Laboratory of Digital Media Technology Shandong University of Finance and Economics 

基　　金：Supported by National Nature Science Foundation of China(61103150) National Research Foundation for the Doctoral Program of Higher Education of China(20110131130004) Shandong University Outstanding Graduate Research Innovation Fund(No.yyx10122) 

出 版 物：《Computer Aided Drafting,Design and Manufacturing》 (计算机辅助绘图设计与制造（英文版）)

年 卷 期：2012年第22卷第4期

页      码：11-15页

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 exist- ing methods.

主 题 词：image decomposition adaptive filter integral image Gaussian filter 

学科分类：07[理学] 08[工学] 080203[080203] 070102[070102] 0802[工学-机械学] 0701[理学-数学类] 

D　O　I：10.19583/j.1003-4951.2012.04.003

馆 藏 号：203386331...