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Fractal Image Compression using Quantum PSO | ||
| Journal of College of Education for Pure Science | ||
| Article 1, Volume 7, Issue 2, 2017, Pages 256-266 | ||
| Authors | ||
| Firas Sabar Miften; Hazeem B. Taher; Kadhim Ajeel Obeaband | ||
| Abstract | ||
| The self-similarity property is used by Fractal Image Compression (FIC) of a natural image.FIC performs tow processes encoded and decoded. The encoding time is very large for most existing algorithms to obtains the coded image.A new particle swarm optimization (PSO) technique forfast fractal encoding is proposed by many types of researchto reduce the encoding time. In this paper, Optimizing PSO by Quantum to reduce the encoding time. Quantum particle swarm optimization (QPSO) technique can speed up the fractal encoder and preserve the image. | ||
| Keywords | ||
| Fractal Image Compression; quantum particle swarmoptimization; particle swarmoptimization; encoding time | ||
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