• Laser & Optoelectronics Progress
  • Vol. 52, Issue 2, 20004 (2015)
Chen Jian1、2、3、*, Gao Huibin1, Wang Weiguo1, and Bi Xun1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/lop52.020004 Cite this Article Set citation alerts
    Chen Jian, Gao Huibin, Wang Weiguo, Bi Xun. Methods and Applications of Image Super-Resolution Restoration[J]. Laser & Optoelectronics Progress, 2015, 52(2): 20004 Copy Citation Text show less

    Abstract

    The basic concepts and theories of super-resolution restoration method is introduced. Some applications focused on common method of super-resolution restoration is summarized. Their theoretical basis, advantages and disadvantages, and scope of applications are exhaustively analyzed. The applications of super-resolution restoration theory is introduced. Overall, the super-resolution restoration methods are divided into frequency domain method and space domain method. Frequency domain recovery method is simple in principle and easy in calculation. But its motion model is shift model have no generality. Meanwhile it is difficult to use the priori information of the image to help super-resolution restoration. Space domain recovery method can be easily taken degradation and motion blur. More perfect priori knowledge is added. Compared with the frequency domain method, space domain superresolution restoration model is more close to actual degradation processes and currently the most widely used superresolution restoration method.
    Chen Jian, Gao Huibin, Wang Weiguo, Bi Xun. Methods and Applications of Image Super-Resolution Restoration[J]. Laser & Optoelectronics Progress, 2015, 52(2): 20004
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