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An Improved Image Re-indexing Technique by Self Organizing Motor Maps

机译:自组织运动图的改进图像重新索引技术

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摘要

The paper presents a novel Motor Map neural network for re-indexing color mapped images. The overall learning process is able to smooth the local spatial redundancy of the indexes of the input image. Differently than before, the proposed optimization process is specifically devoted to re-organize the matrix of differences of the indexes computed according to some predefined patterns. Experimental results show that the proposed approach achieves good performances both in terms of compression ratio and zero order entropy of local differences. Also its computational complexity is competitive with previous works in the field.
机译:本文提出了一种新颖的Motor Map神经网络,用于重新索引彩色映射的图像。整个学习过程能够平滑输入图像索引的局部空间冗余。与以前不同,建议的优化过程专门用于重新组织根据某些预定义模式计算的指标差异矩阵。实验结果表明,该方法在压缩比和局部差异的零阶熵方面均取得了良好的性能。而且其计算复杂度与该领域的先前工作相比具有竞争力。

著录项

  • 来源
    《Computational color imaging》|2009年|62-70|共9页
  • 会议地点 Saint-Etienne(FR);Saint-Etienne(FR)
  • 作者单位

    Dipartimento di Matematica e Informatica,University of Catania, Yiale A. Doria, 6, 95125 Catania, Italy;

    rnDipartimento di Matematica e Informatica,University of Catania, Yiale A. Doria, 6, 95125 Catania, Italy;

    rnDipartimento di Matematica e Informatica,University of Catania, Yiale A. Doria, 6, 95125 Catania, Italy;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

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