Fractal image compression: theory and application
Fractal image compression: theory and application
Fractal Image Compression Algorithms on a MIMD Architecture
HPCN Europe 1996 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
A parallel fractal image compression algorithm for hypercube multiprocessors
SSST '95 Proceedings of the 27th Southeastern Symposium on System Theory (SSST'95)
Accelerating fractal image compression by multi-dimensional nearest neighbor search
DCC '95 Proceedings of the Conference on Data Compression
Self-quantized wavelet subtrees: a wavelet-based theory for fractal image compression
DCC '95 Proceedings of the Conference on Data Compression
Fast fractal image block coding based on local variances
IEEE Transactions on Image Processing
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Since fractal image compression is computationally very expensive, speedup techniques are required in addition to parallel processing in order to compress large images in reasonable time. In this paper we introduce a new parallelization approach for fractal image compression algorithms which employ block classification as speedup method suited for multicomputers.