Abstract
This paper introduces a new method of converting interlaced video to a progressively scanned video and image. The new method is derived from Bayesian framework with the spatial-temporal smoothness constraint and the MAP is done by minimizing the energy functional. The half-quadratic regularization method is used to solve the corresponding partial differential equations (PDEs). This approach gives the improved results over the conventional de-interlacing methods. Two criteria are proposed in the paper, and they can be used to evaluate the performance of the de-interlacing algorithms.
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Yin, X., Yuan, J., Lu, X. et al. De-interlacing technique based on total variation with spatial-temporal smoothness constraint. SCI CHINA SER F 50, 561–575 (2007). https://doi.org/10.1007/s11432-007-0047-0
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DOI: https://doi.org/10.1007/s11432-007-0047-0