Denoising algorithm for jacquard image using Beltrami manifold technique

Authors:
Zhilin Feng;Xianrong Zhang;Shuwang Du;Xiaoming Liu;Duanyang Zhao
Affiliations:
College of Zhijiang, Zhejiang University of Technology, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Zhijiang, Zhejiang University of Technology, Hangzhou, China;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China;College of Zhijiang, Zhejiang University of Technology, Hangzhou, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Jacquard image denoising is an active research field in jacquard image processing and has attracted much attention in the past years. In this paper, we present a novel denoising algorithm within the framework of variational schemes and Beltrami manifold technique. Variational schemes for image denoising consist of minimizing a functional which incorporates both the data and a Beltrami flow term. The main advantage of the proposed algorithm is that it has both good noise reduction and edge protection capabilities. Experimental results show that the proposed method offers effective noise removal in real noisy jacquard images while maintaining fine structure of patterns.