计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 225-227.doi: 10.11896/j.issn.1002-137X.2017.11A.047

• 模式识别与图像处理 • 上一篇    下一篇

基于频率敏感三维自组织映射的视差估计算法

任云,程福林,黎洪松   

  1. 桂林电子科技大学信息与通信学院 桂林541004,桂林电子科技大学信息与通信学院 桂林541004,桂林电子科技大学信息与通信学院 桂林541004
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金资助

Disparity Estimation Algorithm Based on Frequency Sensitive Three-dimensional Self-organizing Map

REN Yun, CHENG Fu-lin and LI Hong-song   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出基于频率敏感三维自组织映射的立体视频视差估计算法,视差预测采用基于亮度分类频率敏感三维自组织映射(Classified Frequency Sensitive Three-Dimensional Self-Organizing Map,CFS-3DSOM)的视差模式识别(Disparity pattern recognition,DPR)算法。其基本思想是对视差图像的低亮度区域和高亮度区域分别进行预测,在训练模式库时引入频率敏感方法。实验表明,与传统基于块的视差估计算法相比,CFS-3DSOM-DPR算法的视差预测图像的平均峰值信噪比提高了0.78~1.78dB,时间减少了70%。

关键词: 视差估计,自组织映射,视差模式识别,立体视频编码

Abstract: A disparity estimation algorithm was presented based on frequency sensitive three-dimensional self-organizing map in this paper.It uses disparity pattern recognition (DPR) algorithm based on classified three-dimensional self-organizing map (CFS-3DSOM).The main idea is predicting disparity separately for low light area and high light area of disparity images,and adding frequency sensitive method when training pattern library.Experiment results show that the average peak signal noise ratio (PSNR) of disparity prediction image of CFS-3DSOM-DPR algorithm increases 1.78dB compared to disparity estimation algorithm based on block.

Key words: Disparity estimation,Self-organizing map,Disparity pattern recognition,Stereo video coding

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