DocumentCode
572840
Title
Underwater image de-noising algorithm based on Nonsubsampled Contourlet Transform and Total Variation
Author
Jia Dong-xiao ; Ge Yu-rong
Author_Institution
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
fYear
2012
fDate
24-26 Aug. 2012
Firstpage
76
Lastpage
80
Abstract
According to the characteristics of underwater image, this paper proposed a underwater image de-noising algorithm based on Nonsubsampled Contourlet Transform (NSCT) and Adaptive Total Variation (ATV) de-noising model. In our method, the underwater image is decomposed into low frequency part and high frequency part. ATV de-noising model is applied to high frequency part. Experimental results show that the method can not only eliminate the noise, but also retain edge and texture of the target very well.
Keywords
image denoising; marine systems; transforms; ATV; NSCT; adaptive total variation; nonsubsampled contourlet transform; total variation; underwater image denoising algorithm; Noise; ATV; Image de-noising; NSCT; Underwater image;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location
Xi´an, Shaanxi
Print_ISBN
978-1-4673-1410-7
Type
conf
DOI
10.1109/CSIP.2012.6308799
Filename
6308799
Link To Document