Bayesian High-Resolution Reconstruction Of Low-Resolution Compressed Video
ICIP (2)(2001)
摘要
A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm incorporates knowledge of the spatio-temporal correlation between low and high-resolution images to estimate the original high-resolution sequence from the degraded low-resolution observation. Information from the encoder is also exploited, including the transmitted motion vectors, quantization tables, coding modes and quantizer scale factors. Simulations illustrate an improvement in the peak signal-to-noise ratio when compared with traditional interpolation techniques and are corroborated with visual results.
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关键词
motion field,low resolution,spatial resolution,quantization,image resolution,encoder,bayesian methods,data compression,parameter estimation,video compression,image restoration,peak signal to noise ratio,image reconstruction,motion estimation,degradation,high resolution
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