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一种高效处理三维信号的自组织映射算法
引用本文:黎洪松,王艳华. 一种高效处理三维信号的自组织映射算法[J]. 桂林电子科技大学学报, 2014, 0(2): 120-125
作者姓名:黎洪松  王艳华
作者单位:桂林电子科技大学 信息与通信学院,广西 桂林541004
基金项目:国家自然科学基金(61261035)
摘    要:针对传统自组织映射算法难以实现三维信号的非线性映射问题,提出三维自组织映射算法。采用二维输入层和三维输出层的神经网络结构,将邻域算法、竞争算法、学习算法和初始化算法的三维自组织映射算法应用于三维立体图像压缩编码。仿真实验表明,三维自组织映射算法的重构图像具有较好的峰值信噪比和主观品质。

关 键 词:立体图像  邻域算法  竞争算法  学习算法  初始化算法  三维自组织映射

A highly efficient self-organizing mapping algorithm for three-dimensional signal processing
Li Hongsong,Wang Yanhua. A highly efficient self-organizing mapping algorithm for three-dimensional signal processing[J]. Journal of Guilin University of Electronic Technology, 2014, 0(2): 120-125
Authors:Li Hongsong  Wang Yanhua
Affiliation:(School of Information and Comn'mnication Engineering, Guilin University of Electronic Technology, Guilin 541004, China)
Abstract:The traditional self-organizing mapping algorithm is difficult to realize nonlinear mapping problem of three dimen-sional signal,the three-dimensional self-organizing mapping algorithm is put forward.Using two-dimensional input layer and three-dimensional output layer of neural network structure,the three-dimensional self-organizing mapping algorithm is researched including neighborhood algorithm,competition algorithm,learning algorithm and initialization algorithm,and it is applied to the three-dimensional image compression coding.The simulation experiments show that the reconstructed ima-ges of three-dimensional SOM algorithm have better peak signal-to-noise ratio and subj ective quality.
Keywords:stereo image  neighborhood algorithm  competitive algorithm  learning algorithm  initialization algorithm  three-dimensional self-organizing mapping
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