DocumentCode
531864
Title
An improved image denoising algorithm based on wavelet transform Modulus Maximum
Author
Guo Chao-feng ; Li Mei-lian
Author_Institution
Coll. of Comput. Sci. & Technol., Xuchang Univ., Xuchang, China
Volume
7
fYear
2010
fDate
22-24 Oct. 2010
Abstract
This paper proposes an improved image denoising algorithm, which uses a piecewise cubic spline interpolation algorithm to reconstruct wavelet coefficients after denoising based on Modulus Maximum Principle first, and then recompose the image using the mallat algorithm. Experiments show that the approximate wavelet coefficients of the original image are offered through this algorithm, and denoising is obvious.
Keywords
image denoising; splines (mathematics); wavelet transforms; image denoising algorithm improvement; mallat algorithm; modulus maximum principle; piecewise cubic spline interpolation algorithm; wavelet coefficients; wavelet transform modulus maximum; Computers; Signal to noise ratio; Wavelet analysis; cubic spline interpolation algorithm; image de-noising; modulus maxima; wavelet coefficients reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619055
Filename
5619055
Link To Document