DocumentCode :
309726
Title :
Low-power image decoding using fractals
Author :
Masselos, K. ; Merakos, P. ; Stouraitis, T. ; Goutis, C.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Patras Univ., Greece
Volume :
2
fYear :
1996
fDate :
13-16 Oct 1996
Firstpage :
748
Abstract :
In this paper a low-power evaluation of image decoding using fractals is presented. Fractal coding is asymmetrical in nature meaning that the encoder and the decoder have not the same computational complexity. Although fractal encoding is very complex in terms of computation, the computational requirements of fractal decoding are very small favoring low power consumption. Structural algorithmic properties of fractal decoding also favor low-power. Comparison with other classical decoding techniques shows that significant power savings can be achieved by using fractal decoding. This is very important for portable applications if the fact that the decoder is usually the mobile part of a system is taken into consideration
Keywords :
decoding; fractals; image coding; computational complexity; fractals; low-power image decoding; portable applications; structural algorithm; Computational complexity; Decoding; Design optimization; Encoding; Energy consumption; Fractals; Image coding; Laboratories; Portable computers; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
Type :
conf
DOI :
10.1109/ICECS.1996.584470
Filename :
584470
Link To Document :
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