DocumentCode :
554275
Title :
A mixed de-nosing method of digital image based on removed-noise threshold
Author :
Lina Zhang ; Jiaqing Tu ; Zhimin Wang
Author_Institution :
Dept. of Electron. & Inf. Technol., WenZhou Univ., Wenzhou, China
Volume :
3
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1223
Lastpage :
1226
Abstract :
An efficient mixed de-nosing method of digital image based on removed-noise threshold is presented. The conception of neighborhood and removed-noise threshold is introduced. The weight average is insteaded of traditional average operation, which is assigned as weight value. This algorithm also advances pixel-block operation instead of pixel-pixel operation and removed-noise threshold instead of segmentation threshold, which causes the image more explicit and shows obvious superiority especially when the noise is more complex. Results show that the approach based on fuzzy smoothing approach provides a powerful noise removal ability than the classical ones.
Keywords :
fuzzy set theory; image denoising; digital image; fuzzy smoothing approach; mixed denoising method; neighborhood threshold; pixel-block operation; pixel-pixel operation; removed-noise threshold; segmentation threshold; weight average; weight value; Digital images; Gray-scale; Image edge detection; Noise; Noise level; Noise measurement; Noise reduction; dogital image; image de-noise; noise measure; threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6022989
Filename :
6022989
Link To Document :
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