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Modified OFS-RDS bat algorithm for IFS encoding of bitmap fractal binary images

机译:用于位图分形二进制图像的IFS编码IFS-RDS BAT算法的修改

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摘要

This work is an extension of a previous paper (presented at the Cyberworlds 2019 conference) introducing a new method for fractal compression of bitmap binary images. That work is now extended and enhanced through three new valuable features: (1) the bat algorithm is replaced by an improved version based on optimal forage strategy (OFS) and random disturbance strategy (RDS); (2) the inclusion of new similarity metrics; and (3) the consideration of a variable number of contractive maps, whose value can change dynamically over the population and over the iterations. The first feature improves the search capability of the method, the second one improves the reconstruction accuracy, and the third one computes the optimal number of contractive maps automatically. This new scheme is applied to a benchmark of two binary fractal images exhibiting a complex and irregular fractal shape. The graphical and numerical results show that the method performs very well, being able to reconstruct the input images with high accuracy. It also computes the optimal number of contractive maps in a fully automatic way. A comparative work with other alternative methods described in the literature is also carried out. It shows that the presented method outperforms the previous approaches significantly.
机译:这项工作是前一篇论文的延伸(在Cyber​​worlds 2019会议上展示)引入了一个新的位图二进制图像的分形压缩方法。该工作现在延伸和增强了三个新的宝贵功能:(1)基于最佳饲料策略(OFS)和随机干扰策略(RDS)的改进版本代替了BAT算法; (2)包含新的相似度指标; (3)考虑可变数量的收缩图,其值可以在人口和迭代中动态地改变。第一特征改善了该方法的搜索能力,第二个一个提高了重建精度,并且第三个是自动计算最佳的收集映射数。该新方案应用于具有复杂和不规则形状的两个二元分形图像的基准。图形和数值结果表明,该方法执行得很好,能够以高精度重建输入图像。它还以完全自动的方式计算最佳的收缩图数。还进行了文献中描述的其他替代方法的比较工作。它表明,所提出的方法显着优于先前的方法。

著录项

  • 来源
    《Advanced engineering informatics》 |2021年第1期|101222.1-101222.19|共19页
  • 作者单位

    Department of Information Science Faculty of Sciences Toho University 2-2-1 Miyama 274-8510 Funabashi Japan Department of Applied Mathematics and Computational Sciences E.T.S.I. Caminos Canales y Puertos University of Cantabria Avda. de los Castros s/n 39005 Santander Spain;

    Department of Information Science Faculty of Sciences Toho University 2-2-1 Miyama 274-8510 Funabashi Japan Department of Applied Mathematics and Computational Sciences E.T.S.I. Caminos Canales y Puertos University of Cantabria Avda. de los Castros s/n 39005 Santander Spain;

    School of Civil Engineering Universidad de Cantabria Avda. de los Castros 44 E-39005 Santander Spain;

    Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Sl-2000 Slovenia;

    R&D EgiCAD School of Civil Engineering Universidad de Cantabria Avda. de los Castros 44 39005 Santander Spain;

    Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Sl-2000 Slovenia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Swarm intelligence; Bat algorithm; Fractal compression; Iterated function systems; Bitmap images;

    机译:群体智力;BAT算法;分形压缩;迭代功能系统;位图映像;

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