吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 235-241.doi: 10.13229/j.cnki.jdxbgxb201701034

• Orginal Article • Previous Articles     Next Articles

Super-resolution reconstruction of infrared images based on micro-scanner

WANG Xin-hua1, 2, OUYANG Ji-hong1, ZHANG Guang2, HE Yang2   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • Received:2015-11-12 Online:2017-01-20 Published:2017-01-20

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Abstract: In order to acquire high quality image information through infrared detector with low resolution, a method for acquiring image sequence through a Micro-scanner Imaging (MSI) system and Super-resolution Image Reconstruction (SRIR) algorithm was investigated. First, the working mode, hardware and software composition of the MSI system were elaborated. Then, the method for acquiring the image sequence from the MSI system based on motor drive was extracted. Finally, an algorithm of Projections onto Convex Sets (POCS) based on dictionary learning was presented, which was used for SRIR. To validate the proposed method, low resolution image sequence was acquired from digital simulation and real shooting. Experimental results indicate that the proposed method could effectively restore the edge information of an image and suppress noise.

Key words: computer application, micro-scanner, projections onto convex sets(POCS), super-resolution image reconstruction(SRIR)

CLC Number: 

  • TP391.4
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