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Volume 31 Issue 1
Dec.  2010
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Han Yu-bing, Shu Feng, Wu Le-nan. Super-resolution Reconstruction of Video Sequence Based on WLS Filtering[J]. Journal of Electronics & Information Technology, 2009, 31(1): 120-123. doi: 10.3724/SP.J.1146.2006.01509
Citation: Han Yu-bing, Shu Feng, Wu Le-nan. Super-resolution Reconstruction of Video Sequence Based on WLS Filtering[J]. Journal of Electronics & Information Technology, 2009, 31(1): 120-123. doi: 10.3724/SP.J.1146.2006.01509

Super-resolution Reconstruction of Video Sequence Based on WLS Filtering

doi: 10.3724/SP.J.1146.2006.01509
  • Received Date: 2007-04-09
  • Rev Recd Date: 2008-10-13
  • Publish Date: 2009-01-19
  • A framework of reconstructing a super-resolution video sequence from a low resolution video sequence is proposed in this paper. First, an upsampling and deconvolution algorithm for single frame is introduced based on regularization by means of CG algorithm. Then after thoroughly studied the motion compensation matrix and weighted matrix, an adaptive filter is designed for the purpose of interframe data fusion based on weighted least square. Experimental results demonstrate the power of the proposed method with some adaptive and robust.
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  • Park S C, Park M K, and Kang M G. Super-resolution imagereconstruction: A technical overview [J].IEEE SignalProcessing Magazine.2003, 20(3):21-36[2]Farsiu S, Robinson D, Elad M, and Milanfar P. Advances andchallenges in super-resolution [J].International Journal ofImaging Systems and Technology.2004, 14(2):47-57[3]Nguyen N, Milanfar P, and Golub G. A computationallyefficient superresolution image reconstruction algorithm [J].IEEE Trans. on Image Processing.2001, 10(4):573-583[4]Schultz R R and Stevenson R L. Extraction of high-resolutionframes from video sequences [J]. IEEE Trans. on ImageProcessing, 1996, 5(6): 996-1011.[5]Patti A J, Sezan M I, and Tekalp A M. Superresolution videoreconstruction with arbitrary sampling lattices and nonzeroaperture time [J].IEEE Trans. on Image Processing.1997,6(8):1064-1076[6]Han Yubing and Wu Lenan. Super resolution reconstructionof video sequence based on total variation [C]. InternationalSymposium on Intelligent Multimedia Video and SpeechProcessing, Hongkong, 2004: 575-578.[7]Ayers G R and Dainty J C. Iterative blind deconvolutionmethod and its applications [J].Optics Letters.1988, 13(7):547-549[8]Capel D P. Image Mosaicing and Super-Resolution [M].London: Springer-Verlag, 2004, Chapter 3.
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