Zerotree image compression using anisotropic wavelet packet transform | Zendy

Rade Kutil | Zendy

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<title>Zerotree image compression using anisotropic wavelet packet transform</title>

Author(s) -

Rade Kutil

Publication year - 2003

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.503124

Subject(s) - wavelet packet decomposition , wavelet , wavelet transform , computer science , second generation wavelet transform , discrete wavelet transform , stationary wavelet transform , lifting scheme , network packet , harmonic wavelet transform , artificial intelligence , image compression , computer vision , algorithm , mathematics , image (mathematics) , image processing , computer network

The anisotropic wavelet packet transform is an extension of the conventional wavelet (packet) transform where the basis can have different scales in different dimensions. As there are certain kinds of images with different behaviour in horizontal and vertical direction, anisotropic wavelet packet bases can be adapted more precisely to these images. Zero-tree image compression has already proved its efficiency on conventional wavelet transformed data as well as for wavelet packets. In this work, zero-tree methods are extended to work with anisotropic wavelet packets and coding results are shown for several types of images.

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