Title :
MCTF-Based Curvelet Video Compression Algorithm
Author :
Zhang, L. ; Wang, S.Q. ; Fang, Z.J. ; Shu, Z.H. ; Zhang, W.R.
Author_Institution :
Key Lab. of Opt.-Electron. & Commun., Jiangxi Sci. & Technol. Normal Univ., Nanchang
Abstract :
In view of the scaling of noise after multiwavelet resolution and characteristic of image, adaptive to looking for the least RMSE of image according to genetic algorithm, we propose a multiwavelet adaptive threshold denoising method based on generation algorithm. The experimental result shows that this algorithm is superior to traditional method, which not only can remove the noise of image, but can preserve edges of image very well. Besides, it has more perfect denoising effect.
Keywords :
data compression; image reconstruction; motion compensation; video coding; wavelet transforms; curvelet video compression algorithm; genetic algorithm; multiwavelet adaptive threshold denoising method; multiwavelet resolution; Anisotropic magnetoresistance; Decoding; Discrete wavelet transforms; Filtering; Image analysis; Image coding; Optical filters; Video coding; Video compression; Wavelet transforms;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.252
