Title :
Block computation architectures for 2-D discrete wavelet transforms
Author :
Limqueco, Jimmy C. ; Bayoumi, Magdy A.
Author_Institution :
Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA
Abstract :
In this paper, we will introduce two coarse-grained architectures for the block computations of 2-D separable DWT. Parallel-sequential architecture shows an improvement in computational complexity by a factor of JK, where J is the octave requirement and K is the filter size, when compared to sequential architecture. The parallel-parallel architecture has a computational complexity of O(N). Both architectures are scalable for different filter sizes and octave levels
Keywords :
computational complexity; data flow computing; parallel architectures; wavelet transforms; 2D discrete wavelet transforms; block computation architectures; coarse-grained architectures; computational complexity; filter size; octave requirement; parallel-parallel architecture; parallel-sequential architecture; separable DWT; Codecs; Computational complexity; Computer architecture; Concurrent computing; Discrete wavelet transforms; Filters; Integrated circuit noise; Integrated circuit technology; Process design; Time factors;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662211
