• Opto-Electronic Engineering
  • Vol. 40, Issue 11, 76 (2013)
DING Lan*, FU Zhizhong, LI Xiaofeng, and ZENG Lei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2013.11.013 Cite this Article
    DING Lan, FU Zhizhong, LI Xiaofeng, ZENG Lei. Image Super Resolution for Multi-view Mixture Resolution Based on Non-uniform Sampling Restoration[J]. Opto-Electronic Engineering, 2013, 40(11): 76 Copy Citation Text show less

    Abstract

    Mixture resolution format is an important representation method in multi-view video coding to reduce the bit rate. To obtain the same spatial and temporal image/video resolution scale in the low resolution view, a novel super resolution method is presented. The cracks of the warped reference high resolution frame are restored by non-uniform sampling principle, and the holes of that are filled with the corresponding regions of the low resolution frame. Then, based on the reverse hole filling method and 2D Discrete Cosine Transform (DCT) image fusion, the high frequency components, which are fetched from the warped reference high resolution frame, are merged into the low resolution view to construct the output high resolution frame. Experimental results show that the proposed method outperforms the traditional up-sampling and DCT-based up-sampling methods.
    DING Lan, FU Zhizhong, LI Xiaofeng, ZENG Lei. Image Super Resolution for Multi-view Mixture Resolution Based on Non-uniform Sampling Restoration[J]. Opto-Electronic Engineering, 2013, 40(11): 76
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