Name
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 [1] 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. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICECS.1996.584470 | ICECS |
Keywords | DocType | Citations |
computational complexity,design optimization,encoding,decoding,fractals,very large scale integration | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantinos Masselos | 1 | 159 | 18.12 |
| P. Merakos | 2 | 11 | 4.59 |
| Thanos Stouraitis | 3 | 246 | 30.54 |
| C. E. Goutis | 4 | 16 | 5.16 |