센서학회지 (Journal of Sensor Science and Technology)

  • 제19권2호
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  • Pages.118-123
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  • 2010
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  • 1225-5475(pISSN)
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  • 2093-7563(eISSN)
한국센서학회 (The Korean Sensors Society)
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Papoulis-Gerchberg 방법의 개선에 의한 초해상도 영상 화질 향상

Super-resolution image enhancement by Papoulis-Gerchbergmethod improvement

  • 장효식 (경북대학교 전자전기컴퓨터학부) ;
  • 김덕규 (경북대학교 전자전기컴퓨터학부) ;
  • 정윤수 (한국전자통신연구원) ;
  • 이태균 (경북대학교 전자전기컴퓨터학부) ;
  • 원철호 (경일대학교 제어전기공학부)
  • Jang, Hyo-Sik (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Kim, Duk-Gyoo (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Jung, Yoon-Soo (Electronics and Telecommunications Research Institute) ;
  • Lee, Tae-Gyoun (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Won, Chul-Ho (School of Control & Electrical Engrineering, Kyungil University)
  • 투고 : 2010.01.12
  • 심사 : 2010.03.08
  • 발행 : 2010.03.31
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초록

This paper proposes super-resolution reconstruction algorithm for image enhancement. Super-resolution reconstruction algorithms reconstruct a high-resolution image from multi-frame low-resolution images of a scene. Conventional super- resolution reconstruction algorithms are iterative back-projection(IBP), robust super-resolution(RS)method and standard Papoulis-Gerchberg(PG)method. However, traditional methods have some problems such as rotation and ringing. So, this paper proposes modified algorithm to improve the problem. Experimental results show that this proposed algorithm solve the problem. As a result, the proposed method showed an increase in the PSNR for traditional super-resolution reconstruction algorithms.

키워드

참고문헌

  1. S. M. Park, M. K. Park, and M. G. Kang, "Super-resolution image construction : A technical overview", IEEE signal processing magazine 2003.
  2. D. Keren, S. Peleg, and R. Brada, "Image sequence enhancement using sub-pixel displacement", in Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR '88), pp.742-746, Ann Arbor, Mich, USA, June 1988.
  3. M. Irani and S. Peleg, "Improving resolution by image registration", CVGIP : Graphical Models and Image Processing, vol. 53, no. 3, pp. 231-239, 1991. https://doi.org/10.1016/1049-9652(91)90045-L
  4. A. Zomet, A. Rav-Acha, and S. Peleg, "Robust super-resolution", in Proceedings of IEEE Computer Society Conference on Compter Vision and Pattern Recognition (CVPR '01), vol. 1, pp. 645-650, Kauai, Hawaii, USA, December 2001.
  5. Deepesh Jain, "Superresolution using Papoulis-Gerchberg Algorithm", EE392J - Digital Video Processing. Stanford University, Stanford, CA, jaindee@ stanford.edu
  6. http://lcavwww.epfl.ch/reproducible_research/Vand- welleSV05/.