The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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Effective De-blurring Algorithm for the Vibration Blur of the Interlaced Scan Type Digital Camera

인터레이스 스캔 방식 디지털 카메라 떨림 블러에 대한 효과적 제거 알고리즘

  • Published : 2005.09.01
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Abstract

An effective do-blurring algorithm is proposed to remove the blur of the even and the odd line images of the interlaced scan type camera. n the object or the camera moves fast while the interlaced scan type digital camera is acquiring images, blur is often created due to the misalignment between two images of even and odd lines. In this paper, the blurred original image is separated into the even and the odd line images of the half size. Two full sized images are generated using interpolation technique based on these two in ages. Again, these images are signed and combined through the processes of feature extraction, matching, sub-pixel matching, outlier removal, and mosaicking. De-blurring simulations about the images of different camera motions have been done.

Keywords

References

  1. P.A. Jansson, 'Deconvolution of Image and Spectra', second ed. Academic Press, 1997
  2. Moshe Ben-Era and Shree K. Nayar, 'Motion-Based Motion Deblurring', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 689-698 , June 2004 https://doi.org/10.1109/TPAMI.2004.1
  3. H. Shekarfoush and R. Chellappa, 'Data-Driven Multi-Channel Super-Resolution with Application to Video Sequence', J. Optical Soc. of Am. A, vol. 16, no. 3, pp. 481-492, 1999 https://doi.org/10.1364/JOSAA.16.000481
  4. T. Hamamoto and K. Aizawa, 'A computational Image Sensor with Adaptive Pixel-Based Integration Time', IEEE J. Solid-State Circuits, vol. 36, pp. 580-585, 2002 https://doi.org/10.1109/4.913735
  5. X. Liu and A. E. Gamal, 'Simultaneous Image Formation and Motion Blur Restoration via Multiple Capture', Proc. 2001 IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, p.1841, 2001 https://doi.org/10.1109/ICASSP.2001.941301
  6. Endo, Takayuki and Canon Inc., 'Optical apparatus', United States Patent:6,628,898, Sept. 2003
  7. Imada, Shinji and Canon Inc., 'Image blur correction apparatus and image pickup apparatus with the image blur correction apparatus', United States Patent : 6,470,147, Oct. 2002
  8. Terao, Kentaro and Nikon Co., 'Blur correcting device and lens barrel', United States Patent:6,816,674, Nov. 2004
  9. Imada, Shinji and Canon Inc., 'Control device for image blur correction', United States Patent : 6,408,135, June 2002
  10. Smith, S.M., J.M. Brady, 1997. SUSAN - a new approach to low level image processing. International Journal of Computer Vision, 23(1), pp. 45-78, 1997 https://doi.org/10.1023/A:1007963824710
  11. 전재춘, 김형석, '가변 분해능을 가진 2차원 히스토그램을 이용한 강건한 광류인식',전자공학회지. 42 권, SP(3호), pp.51-64, 2005년
  12. 일본사진측량학회, 해석사진측량, p.33, 2003