计算机技术与发展2018，Vol.28Issue(5)：47-50,4.DOI:10.3969/j.issn.1673-629X.2018.05.011
基于分项可变权函数的各项异性去噪模型
Anisotropic Denoising Model Based on Variable Weight Function
摘要
Abstract
Total variation (TV) theory of image for denoising effect is not ideal.To overcome the excessive smoothing of edge and blurred phenomenon and block effect after suppression of noise,we present a differential total variation model for image denoising based on the advantage of four derivative suppression to"staircase effect".First,we demonstrate the advantages and disadvantages of traditional denoising model and others.Then in order to better protect the image edge details,we propose a new adaptive TV model with edge indica-tor combining the theory of edge index with the four order total variation model.The edge index is used to design weight function of par-tial control,which makes the edge area and smoothing area of the image be different denoising effect,with relaxation descent method to find the solution to the established model.The experiments show that the proposed method can eliminate the image noise while suppress-ing the"staircase effect",and preserve effectively the edge details and texture information of the image.关键词
图像降噪/阶梯效应/四阶导数/边缘指标/分项控制Key words
image denoising/staircase effect/four derivative/edge indicator/partial control分类
信息技术与安全科学引用本文复制引用
王锐锐,蔡光程..基于分项可变权函数的各项异性去噪模型[J].计算机技术与发展,2018,28(5):47-50,4.基金项目
国家自然科学基金(11461037) （11461037）
昆明理工大学研究生课程综合改革项目(2016) （2016）
