DocumentCode :
2098196
Title :
Research on Noise Detection Based on Improved Gradient Function
Author :
Liu, Xiaosheng ; Chen, Zhihui
Author_Institution :
Sch. of Archit. & Surveying Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Volume :
2
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
476
Lastpage :
479
Abstract :
This paper presents a new noise detection method, in which set eight differential operators, the every pixel gradient is obtained by the eight differential operator and image for convolution. Then an arithmetical mean, which comes from the convolution, is used as final comprehensive assessment indicators. The experimental results show that the method can reflect the impact of different types of noise on the image, and detect the value range of different types of noise.
Keywords :
convolution; gradient methods; image denoising; arithmetical mean; gradient function; noise detection method; pixel gradient; Computer science; Convolution; Gaussian noise; Image edge detection; Image processing; Image sensors; Interference; Paper technology; Pixel; Signal processing; Gradient; differential operators; gradient function; noise detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
Type :
conf
DOI :
10.1109/ISCSCT.2008.283
Filename :
4731667
Link To Document :
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