Weighted curvature-preserving PDE image filtering method. (September 2015)

• Record Type: Journal Article
• Authors: Tian, Wei; Ma, Tinghuai; Zheng, Yuhui; Wang, Xin; Tian, Yuan; Al-Dhelaan, Abdullah; Al-Rodhaan, Mznah
• Is Part Of: Computers & mathematics with applications. Volume 70:issue 6(2015)
• Page Start: 1336
• Page End: 1344
• Publication Date: 2015-09
• Subjects: Electronic data processing -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.28541
• DOI: 10.1016/j.camwa.2015.07.022
• Languages: English
• ISSNs: 0898-1221

Abstract

<abstract xml:lang="en" abstract-type="author" id="a000005"> <title id="st000005">Abstract</title> <sec> <p id="sp000045">The tensor-driven curvature-preserving partial differential equation is an outstanding anisotropic diffusion filtering model. To effectively preserve image edge well, a weighted curvature-preserving PDE based filtering method is proposed, which employ local image directional information to design weight coefficient for different vector fields. Experimental results indicate that new approach shows superior performance on preserving image edge and curvature geometric structure.</p> </sec> </abstract>