DocumentCode :
3055592
Title :
An innovative image enhancement method for edge preservation in wavelet domain
Author :
Jing Jin ; Songyuan Tang ; Yi Shen
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2015
fDate :
11-14 May 2015
Firstpage :
52
Lastpage :
56
Abstract :
In this paper, an innovative method is proposed for both noise repression and edge preservation. This method is distinct in that the structure tensor is applied in wavelet domain to detect the edge information. And both the shrinkage and the detection process are quantified and unified in the form of the matrix mask. In this way, the image denoising can be conducted with the detailed information maintained. To be specific, two matrix masks respectively in charge of suppressing the noise and preserving the edge pixels are combined to undertake this dual mission. And such an approach is proven to be beneficial to both the noise repression and the edge preservation.
Keywords :
image denoising; image enhancement; matrix algebra; tensors; wavelet transforms; detection process; edge information detection; edge preservation; image denoising; image enhancement method; matrix mask; shrinkage process; structure tensor; wavelet domain; Compounds; Image edge detection; Noise; Noise reduction; Tensile stress; Wavelet domain; Wavelet transforms; compound mask; denoising; edge preservation; structure tensor; wavelet threshold shrinkage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
Conference_Location :
Pisa
Type :
conf
DOI :
10.1109/I2MTC.2015.7151239
Filename :
7151239
Link To Document :
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