TY - GEN
T1 - Wavelet image compression using universal coefficients matrix detail estimation
AU - Sánchez, Leonardo E.Urbano
AU - Meana, Héctor M.Pérez
AU - Miyatake, Mariko Nakano
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=3042565961&partnerID=8YFLogxK
U2 - 10.1109/icecc.2004.1269586
DO - 10.1109/icecc.2004.1269586
M3 - Contribución a la conferencia
AN - SCOPUS:3042565961
SN - 076952074X
SN - 9780769520742
T3 - Proceedings - International Conference on Electronics, Communications and Computers, CONIELECOMP
SP - 277
EP - 282
BT - Proceedings - 14th International Conference on Electronics, Communications and Computers, CONIELECOMP 2004
PB - IEEE Computer Society
T2 - Proceedings - 14th International Conference on Electronics, Communications and Computers, CONIELECOMP 2004
Y2 - 16 February 2004 through 18 February 2004
ER -