Implementation of a Wavelet Transform Architecture for Image Processing - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Chapitre D'ouvrage Année : 2000

Implementation of a Wavelet Transform Architecture for Image Processing

Résumé

The wavelet transform appears to be an efficient tool for image compression. Many works propose an implementation of the pyramid a1gorithm with some improvement to reduce its treatment time or to increase its performances. However, the pyramid a1gorithm remains silicon area costly, essentially because of its memory needs, and depending on the size of filters used. This paper proposes a new implementation of the wavelet transform using the lifting scheme. This method proposes many improvements such as in-place calculation, small memory needs, and easy inverse transform.
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Dates et versions

lirmm-03704293 , version 1 (24-06-2022)

Identifiants

Citer

Camille Diou, Lionel Torres, Michel Robert. Implementation of a Wavelet Transform Architecture for Image Processing. VLSI: Systems on a Chip, 34, Springer US, pp.101-112, 2000, IFIP Advances in Information and Communication Technology, 978-1-4757-1014-4. ⟨10.1007/978-0-387-35498-9_10⟩. ⟨lirmm-03704293⟩
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