• Opto-Electronic Engineering
  • Vol. 43, Issue 8, 64 (2016)
YUAN Qizheng*, SHAO Feng, YU Mei, and JIANG Gangyi
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2016.08.011 Cite this Article
    YUAN Qizheng, SHAO Feng, YU Mei, JIANG Gangyi. 3D Images Deblocking Based on Joint Dictionary[J]. Opto-Electronic Engineering, 2016, 43(8): 64 Copy Citation Text show less

    Abstract

    To eliminate the blocking artifacts caused by three-dimensional (3D) image compression, a deblocking method is proposed based on joint dictionary. The proposed method mainly includes three stages: dictionary training, dictionary jointing and deblocking. At the dictionary training stage, an over-complete color dictionary and depth dictionary are trained respectively with state-of-the-art dictionary learning method. At the dictionary jointing stage, for a testing sample, its corresponding color-depth joint dictionary is constructed based on the sparse coefficients with respect to the learnt color and depth dictionaries. At the deblocking stage, by estimating the reconstruction error threshold, a deblocking operation is performed to get the reconstructed 3D images with respect to the learnt joint dictionary. Experimental results demonstrate that the proposed method can effectively reduce the blocking artifacts of the compressed 3D images and generate high-quality synthesized images.
    YUAN Qizheng, SHAO Feng, YU Mei, JIANG Gangyi. 3D Images Deblocking Based on Joint Dictionary[J]. Opto-Electronic Engineering, 2016, 43(8): 64
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