Title :
Intelligent Restoration Algorithm to Line Similar Pixels in Noisy Image
Author :
Bing, Hao ; Ting-Zhi, Shen ; Hui, Tian
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Abstract :
For restoration line similar pixels from noisy image, the disadvantages of some current image processing methods are analyzed. Then a new directional operator set with standard uniform is designed to detect the anisotropy of line pixels. Learned from manmade game schedule of washing out and sporting, a non-orthogonal and non-PR(perfect reconstruction) filtering approach is proposed. With the program of measuring, washing out, competition and tight support domain filtering, simplified by the plot of from simple to complex, straight line estimation to zigzag fitting, relative algorithm is implemented in an orderly manner. The effectiveness and consistency of proposal algorithm are checked at different noise level, and the satisfactory lines restoration results are obtained.
Keywords :
Radon transforms; curvelet transforms; filtering theory; image restoration; directional operator set; image processing methods; intelligent restoration algorithm; line pixels anisotropy; line similar pixels; manmade game schedule; noisy image; non-orthogonal filtering; non-perfect reconstruction filtering; relative algorithm; straight line estimation; tight support domain filtering; washing out; zigzag fitting; Algorithm design and analysis; Anisotropic magnetoresistance; Filter bank; Filtering; Image reconstruction; Image restoration; Information analysis; Noise reduction; Shape; Smart pixels; C-competition; Directional operator set; F-tight support domain smoothing filtering; M-measurement; W-wash out;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.694