Title :
Wavelet image compression using universal coefficients matrix detail estimation
Author :
Sánchez, Leonardo E Urbano ; Meana, Héctor M Pérez ; Miyatake, Mariko Nakano
Author_Institution :
Graduate Studies Sect., Escuela Superior De Ingenieria Mecdnica Y Electrica Campus Culhuacan, Mexico
Abstract :
The paper represents a low complexity image compression algorithm by application of the two-dimensional discrete wavelet transform and the estimation of the detail matrices from the information matrix of the transformed image, using an adaptable RLS filter which estimates the detail matrices with universal coefficients. The reconstructed image is synthesized using the estimated detail matrices and information matrix provided by the wavelet transform.
Keywords :
adaptive filters; data compression; discrete wavelet transforms; image coding; image reconstruction; matrix algebra; parameter estimation; recursive filters; transform coding; adaptable RLS filter; detail matrix estimation; image reconstruction; information matrix; matrix detail estimation; recursive least squares filter; two-dimensional discrete wavelet transform; universal coefficients; wavelet image compression; Bandwidth; Costs; Discrete wavelet transforms; Humans; Image coding; Image generation; Image storage; Information filtering; Information filters; Resonance light scattering;
Conference_Titel :
Electronics, Communications and Computers, 2004. CONIELECOMP 2004. 14th International Conference on
Print_ISBN :
0-7695-2074-X
DOI :
10.1109/ICECC.2004.1269586
