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Super-resolution Reconstruction of Video Sequence Based on WLS Filtering |
Han Yu-bing①; Shu Feng①; Wu Le-nan② |
①School of Electronic Engineering & Optoelectronic Techniques,
Nanjing University of Science & Technology, Nanjing 210094, China;②Department of Radio Engineering, Southeast University, Nanjing 210096, China |
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Abstract 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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Received: 09 April 2007
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