Title :
Denoising and Image Compression Using Bspline Wavelets
Author :
Fahmy, M.F. ; Raheem, G.A. ; Mohamed, U.S. ; Fahmy, Omar F. ; Fahmy, G.
Author_Institution :
Univ. of Assiut, Assiut
Abstract :
In this paper we briefly describe the results of a recent research on how to construct and implement Bspline wavelet basis. Next, a novel technique based on using Bspline wavelet basis, is proposed for signal de-noising and image compression. Extensive simulation results, have shown that the proposed technique competes very well with other methods using classical orthogonal and bi-orthogonal wavelets. Bsplines example are given.
Keywords :
data compression; image coding; image denoising; splines (mathematics); wavelet transforms; Bspline wavelets; biorthogonal wavelets; image compression; image denoising; signal denoising; Decoding; Filter bank; Finite impulse response filter; Image analysis; Image coding; Image reconstruction; Noise reduction; Signal analysis; Signal denoising; Signal synthesis;
Conference_Titel :
Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on
Conference_Location :
Sarajevo
Print_ISBN :
978-1-4244-3554-8
Electronic_ISBN :
978-1-4244-3555-5
DOI :
10.1109/ISSPIT.2008.4775668
