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Fractal Encoding Of Digital Images with an Optimization Algorithm

机译:优化算法数字图像的分形编码

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In this paper we describe an algorithm to find an Iterated Function System with associated probabilities (IFS) in order to generate a given coloured image. The proposed optimization algorithm, based on the Gradient method combined with Simulated Annealing, is much faster than the Simulated Annealing optimization algorithm. Actually, more than one order of magnitude improvement in computational time has been gained. The overall algorithm can be viewed as a Simulated Quenching (SQ) method, which is quite efficient for the problem under consideration. Convergence curves are reported and discussed and an example of coded image is included.
机译:在本文中,我们描述了一种算法,用于找到具有相关概率(IFS)的迭代功能系统,以便生成给定的彩色图像。 基于梯度法与模拟退火组合的所提出的优化算法比模拟退火优化算法更快。 实际上,已经获得了计算时间的多个数量级改善。 整体算法可以被视为模拟淬火(SQ)方法,这对于所考虑的问题非常有效。 报告并讨论了收敛曲线,并且包括编码图像的示例。

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