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
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;
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
DOI :
10.1109/ICCASM.2010.5619055