DocumentCode :
509094
Title :
Denoising Algorithm for Jacquard Image Using Beltrami Manifold Technique
Author :
Feng, Zhilin ; Zhang, Xianrong ; Du, Shuwang ; Liu, Xiaoming ; Zhao, Duanyang
Author_Institution :
Coll. of Zhijiang, Zhejiang Univ. of Technol., Hangzhou, China
Volume :
2
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
265
Lastpage :
267
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.
Keywords :
image denoising; variational techniques; Beltrami flow term; Beltrami manifold technique; edge protection capability; jacquard image denoising; noise reduction capability; variational schemes; Colored noise; Computer science; Educational institutions; Image analysis; Image denoising; Image processing; Noise reduction; Smoothing methods; TV; Tensile stress; Beltrami flow; image denoising; manifold learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.201
Filename :
5369199
Link To Document :
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