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

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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

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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