Title :
A non-separable lifting approach for 3D image compression
Author :
Montgomery, David ; Amira, Abbes ; Murtagh, Fionn
Author_Institution :
Sch. of Comput. Sci., Queen´´s Univ., Belfast, UK
Abstract :
The three-dimensional wavelet transform is extremely important for image and video processing. The paper presents a number of three dimensional non-separable wavelet transforms, each of which is obtained using a lifting scheme. The performances of the new wavelets in terms of psycho-visual reconstruction quality and peak signal-to-noise ratio are compared to tensor product wavelets in a lossy image compression application.
Keywords :
data compression; image coding; image reconstruction; transform coding; wavelet transforms; 3D image compression; PSNR; image processing; nonseparable lifting approach; peak signal-to-noise ratio; psycho-visual reconstruction quality; tensor product wavelets; three-dimensional wavelet transform; video processing; Computer science; Convolution; Discrete cosine transforms; Discrete wavelet transforms; Filters; Image coding; Psychology; Transform coding; Video compression; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326500
