Wavelet filter adjusting for image lossless compression using pattern recognition

Oleksiy Pogrebnyak, Ignacio Hernández-Bautista, Oscar Camacho Nieto, Pablo Manrique Ramírez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

A method for image lossless compression using lifting scheme wavelet transform is presented. The proposed method adjusts wavelet filter coefficients analyzing signal spectral characteristics to obtain a higher compression ratio in comparison to the standard CDF(2,2) and CDF(4,4) filters. The proposal is based on spectral pattern recognition with 1-NN classifier. Spectral patterns of a small fixed length are formed for the entire image permitting thus the global optimization of the filter coefficients, equal for all decompositions. The proposed method was applied to a set of test images obtaining better results in entropy values in comparison to the standard wavelet lifting filters.

Idioma originalInglés
Título de la publicación alojadaPattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings
EditorialSpringer Verlag
Páginas221-230
Número de páginas10
ISBN (versión impresa)9783319074900
DOI
EstadoPublicada - 2014
Evento6th Mexican Conference on Pattern Recognition, MCPR 2014 - Cancun, México
Duración: 25 jun. 201428 jun. 2014

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8495 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia6th Mexican Conference on Pattern Recognition, MCPR 2014
País/TerritorioMéxico
CiudadCancun
Período25/06/1428/06/14

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