![]() The purpose of this paper is to provide, and for the first time, more detailed study about the Wolf Pack Algorithm for the fractal image compression. They are characterised with their fast convergence and reducing of research complexity. By another way, heuristics algorithms represent a set of approaches used to solve hard optimisation tasks with rational resources consumption. The technique seems interesting in both theory and application but have a drawback renders in real-time usage due to the high resource requirement when encoding big data. It builds on the local self-similarities and the generation of copies of blocks based on mathematical transformations. The fractal image compression is a recent tool for encoding natural images.
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