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
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