Image compression: a study of the iterated transform method
Signal Processing
Journal of Systems Architecture: the EUROMICRO Journal - Special issue on parallel image proccesing (PIP)
Accelerating fractal image compression by multi-dimensional nearest neighbor search
DCC '95 Proceedings of the Conference on Data Compression
GPU-WAH: applying GPUs to compressing bitmap indexes with word aligned hybrid
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Pseudofractal 2D shape recognition
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
International Journal of Applied Mathematics and Computer Science
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In this paper, we present a parallel fractal image compression using the programmable graphics hardware. The main problem of fractal compression is the very high computing time needed to encode images. Our implementation exploits SIMD architecture and inherent parallelism of recently graphic boards to speed-up baseline approach of fractal encoding. The results we present are achieved on cheap and widely available graphics boards.