DocumentCode :
2502536
Title :
A new method of image noises removal
Author :
Zhang, Ying ; Chen, Xuebo
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Univ. of Technol., Anshan
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
9280
Lastpage :
9285
Abstract :
The paper proposes a new method to remove Gauss noises in an image while preserving the image details well, Based on the four-order cumulant, a 5 times 5 window is selected around a pixel in the image, and the window is divided into four sub-windows without superposition. The four-order cumulants of the four sub-windows are calculated individually. The minimum of the cumulants corresponds to a sub-window. The grey value of processed pixel is replaced by the average grey value of the four pixels in the sub-window. The method can remove or decrease the Gauss noises in an image well and preserve the details in the image.
Keywords :
image denoising; image resolution; Gauss noises; four-order cumulants; image noises removal; processed pixel; Automation; Gaussian processes; Intelligent control; Paper technology; Smart pixels; high-order cumulant; mean filter; median filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594400
Filename :
4594400
Link To Document :
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