Title :
Precision for 2-D discrete wavelet transform processors
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
Abstract :
The 2-D discrete wavelet transform (DWT) suits image processing applications well, allowing for excellent compression. Many architectures have been proposed to perform the 1, 2 and 3-D DWT, but few address the precision necessary to ensure perfect reconstruction. The goal of this work is to experimentally determine the precision needed to store the results of a 2-D DWT without introducing round-off error via the 2-D DWT processor
Keywords :
data compression; discrete wavelet transforms; fixed point arithmetic; floating point arithmetic; image coding; image reconstruction; transform coding; 2D DWT; 2D discrete wavelet transform processors; fixed point arithmetic; floating point arithmetic; image compression; image processing applications; perfect reconstruction; precision; Application software; Computer science; Discrete transforms; Discrete wavelet transforms; Image coding; Image processing; Low pass filters; Quantization; Signal resolution; Wavelet analysis;
Conference_Titel :
Signal Processing Systems, 2000. SiPS 2000. 2000 IEEE Workshop on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-6488-0
DOI :
10.1109/SIPS.2000.886706
