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Volume 30 Issue 3
Dec.  2010
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Xu Zhong-qiang, Zhu Xiu-chang . Super-Resolution Reconstruction of Compressed Video Based on Noise Distribution Property[J]. Journal of Electronics & Information Technology, 2008, 30(3): 752-755. doi: 10.3724/SP.J.1146.2006.01255
Citation: Xu Zhong-qiang, Zhu Xiu-chang . Super-Resolution Reconstruction of Compressed Video Based on Noise Distribution Property[J]. Journal of Electronics & Information Technology, 2008, 30(3): 752-755. doi: 10.3724/SP.J.1146.2006.01255

Super-Resolution Reconstruction of Compressed Video Based on Noise Distribution Property

doi: 10.3724/SP.J.1146.2006.01255 cstr: 32379.14.SP.J.1146.2006.01255
  • Received Date: 2006-08-23
  • Rev Recd Date: 2007-05-17
  • Publish Date: 2008-03-19
  • This paper models the process of video compression, DCT quantization noise and motion estimation noise with exploiting the quantization step size and motion information embedded in the bit-stream. Together with the additive noise term of imaging, the proposed total noise term adaptively adjusts for different quantizers. With a Huber-Markov Random Field (HMRF) as the prior model, the gradient descent algorithm and MAP super-resolution reconstruction are presented and their performances are also analyzed. Simulation results show that proposed algorithm obtains better objective and subjective performances.
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