Wavelet Image Compression Using Universal Coefficients Matrix Detail Estimation

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	Similar Articles Articles by Leonardo E. Urbano S?nchez Articles by H?ctor M. P?rez Meana Articles by Mariko Nakano Miyatake

14th International Conference on Electronics, Communications and Computers

Veracruz, Mexico

February 16-February 18

ISBN: 0-7695-2074-X

	ASCII Text	x
	Leonardo E. Urbano S?nchez, H?ctor M. P?rez Meana, Mariko Nakano Miyatake, "Wavelet Image Compression Using Universal Coefficients Matrix Detail Estimation," Electronics, Communications, and Computers, International Conference on, pp. 277, 14th International Conference on Electronics, Communications and Computers, 2004.

	BibTex	x
	@article{ 10.1109/ICECC.2004.1269586, author = {Leonardo E. Urbano S?nchez and H?ctor M. P?rez Meana and Mariko Nakano Miyatake}, title = {Wavelet Image Compression Using Universal Coefficients Matrix Detail Estimation}, journal ={Electronics, Communications, and Computers, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2074-X}, pages = {277}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICECC.2004.1269586}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Electronics, Communications, and Computers, International Conference on TI - Wavelet Image Compression Using Universal Coefficients Matrix Detail Estimation SN - 0-7695-2074-X SP EP A1 - Leonardo E. Urbano S?nchez, A1 - H?ctor M. P?rez Meana, A1 - Mariko Nakano Miyatake, PY - 2004 KW - null VL - 0 JA - Electronics, Communications, and Computers, International Conference on ER -

Leonardo E. Urbano S?nchez, Escuela Superior De Ingenier?a Mec?nica Y El?ctrica Campus Culhuacan, M?xico

H?ctor M. P?rez Meana, Escuela Superior De Ingenier?a Mec?nica Y El?ctrica Campus Culhuacan, M?xico

Mariko Nakano Miyatake, Escuela Superior De Ingenier?a Mec?nica Y El?ctrica Campus Culhuacan, M?xico

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICECC.2004.1269586

This 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 will estimate the detail matrices with universal coefficients. The reconstructed image will be synthesized by using the estimated detail matrices and information matrix provided by the Wavelet transform.

Citation:

Leonardo E. Urbano S?nchez, H?ctor M. P?rez Meana, Mariko Nakano Miyatake, "Wavelet Image Compression Using Universal Coefficients Matrix Detail Estimation," conielecomp, pp.277, 14th International Conference on Electronics, Communications and Computers, 2004

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