Title :
Finite precision wavelets for image coding: lossy and lossless compression performance evaluation
Author :
Grangetto, Marco ; Magli, Enrico ; Olmo, Gabriella
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
Abstract :
This paper investigates the robustness of the wavelet transform, implemented by means of the lifting scheme (LS), with respect to numerical errors in the representation and calculation of transformed coefficients. The study promises to offer important contributions for the understanding of the LS capabilities when specific implementations are considered. This is a topic of growing interest as the new standard JPEG 2000, based on the wavelet transform, is being finalized. Taking into account the effect of finite precision representation can drive both software and hardware implementations with optimized trade off between complexity and performance; moreover the robustness to numerical errors could be an important feature, not usually considered, in order to select the best wavelet filters
Keywords :
data compression; discrete wavelet transforms; filtering theory; image coding; transform coding; wavelet transforms; DWT; JPEG 2000 standard; discrete wavelet transform; finite precision representation; finite precision wavelets; image coding; integer wavelet transform; lifting scheme; lossless compression; lossy compression; numerical errors; performance evaluation; robustness; Discrete wavelet transforms; Filter bank; Hardware; Image coding; Information filtering; Optical filters; Performance loss; Robustness; Software performance; Wavelet transforms;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899331