Title :
Image compression with matrix detail estimation
Author :
Urbano-Sanchez, Enrique ; Perez-Meana, Hector ; Nakano-Miyatake, Mariko
Author_Institution :
Mech. & Electr. Eng. Sch., Mexico City, Mexico
Abstract :
This paper proposes a low complexity image compression algorithm using a two-dimensional discrete wavelet transform, DWT, and the estimation of the matrices detail, using a 2D-adaptive RLS filter. The reconstructed image will be synthesized by using the estimated detail matrices and information matrix provided by the information matrix of the 2D DWT. Evaluation results show that proposed algorithm provides a similar performance that more sophisticated wavelet based image compression algorithms with much less computational complexity.
Keywords :
adaptive filters; computational complexity; data compression; discrete wavelet transforms; image coding; matrix decomposition; transform coding; 2D-adaptive RLS filter; image compression; image reconstruction; information matrix; low complexity algorithm; matrix detail estimation; two-dimensional discrete wavelet transform; Computational complexity; Data communication; Discrete wavelet transforms; Filters; Fractals; Image coding; Image reconstruction; Image storage; Resonance light scattering; Transform coding;
Conference_Titel :
Physics and Engineering of Microwaves, Millimeter, and Submillimeter Waves, 2004. MSMW 04. The Fifth International Kharkov Symposium on
Print_ISBN :
0-7803-8411-3
DOI :
10.1109/MSMW.2004.1346245
