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Titolo: Integer wavelet transform for embedded lossy to lossless image compression
Autore: Reichel, J; Menegaz, G; Nadenau, MJ; Kunt, M;
 Indirizzi:
 Swiss Fed Inst Technol, Signal Proc Lab, CH1015 Lausanne, Switzerland Swiss Fed Inst Technol Lausanne Switzerland CH1015 ausanne, Switzerland
 Titolo Testata:
 IEEE TRANSACTIONS ON IMAGE PROCESSING
fascicolo: 3,
volume: 10,
anno: 2001,
pagine: 383  392
 SICI:
 10577149(200103)10:3<383:IWTFEL>2.0.ZU;2D
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 PERFORMANCE EVALUATION; IMPLEMENTATION;
 Keywords:
 computation time; computational complexity; image coding; image processing; integertointeger wavelet transforms; lossy compression performance; low bit rates; noise; performance evaluation; transform coding; wavelet transforms;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Engineering, Computing & Technology
 Citazioni:
 27
 Recensione:
 Indirizzi per estratti:
 Indirizzo: Reichel, J Swiss Fed Inst Technol, Signal Proc Lab, CH1015 Lausanne, Switzerland Swiss Fed Inst Technol Lausanne Switzerland CH1015 itzerland



 Citazione:
 J. Reichel et al., "Integer wavelet transform for embedded lossy to lossless image compression", IEEE IM PR, 10(3), 2001, pp. 383392
Abstract
The use of the discrete wavelet transform (DWT) for embedded lossy image compression is now well established. One of the possible implementations of the DWT is the lifting scheme (LS). Because perfect reconstruction is granted by the structure of the LS, nonlinear transforms can be used, allowing efficient lossless compression as well. The integer wavelet transform (IWT) is one of them. This is an interesting alternative to the DWT because its ratedistortion performances is similar and the differences can be predicted. This topic is investigated in a theoretical framework. A model of the degradations caused by the use of the IWT instead of the DWT for lossy compression is presented. The rounding operations are modeled as additive noises. The noises are then propagated through the LS structure to measure their impact on the reconstructed pixels. This methodology is verified using simulations with random noise as input. It predicts accurately the results obtained using images compressed by the wellknown EZW [1] algorithm. Experiments are also performed to measure the difference in terms of bitrate and visualquality. This allows to a better understanding of the impact of the IWT when applied to lossy image compression.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 03/04/20 alle ore 20:33:15