计算机技术与发展2016，Vol.26Issue(3)：85-88,4.DOI:10.3969/j.issn.1673-629X.2016.03.020
基于四阶微分全变差的图像去噪模型
Image De-noising Model Based on Total Variation of Fourth-order Differential
摘要
Abstract
The effect of the existing Total Variation (TV) method for image denoising is not ideal while removing noise,it is not well protection of the edge information of image and easy to appear the"staircase effect" and"blocky effect" when recovering the image. Ai-ming at this problem,a new method of image denoising based on TV of fourth-order differential is proposed in this paper. First,the ad-vantages and disadvantages of the traditional image denoising methods of TV and higher order differential equations are discussed respec-tively. Then,combined the denoising model of TV with fourth-order differential theory,a new adaptive ATV model with the edge indica-tor is obtained,and a rational differential mask in eight directions is drawn. The experimental results show that this method can reduce the noise well,and preserve edge features better,and reduce the influence of the "staircase effect",avoiding the "blocky effect" of the im-age.关键词
图像去噪/全变差/四阶微分/边缘保真/块状效应Key words
image denoising/total variation/fourth-order differential/edge fidelity/blocky effect分类
信息技术与安全科学引用本文复制引用
王璐..基于四阶微分全变差的图像去噪模型[J].计算机技术与发展,2016,26(3):85-88,4.基金项目
国家自然科学基金资助项目(11461037) （11461037）
昆明理工大学人才基金(2008-72) （2008-72）
昆明理工大学研究生核心课程项目 （）
