Restoration of compressed video using temporal information

Mark A. Robertson; Robert L. Stevenson

doi:10.1117/12.411816

29 December 2000 Restoration of compressed video using temporal information

Mark A. Robertson, Robert L. Stevenson

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411816
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

This paper proposes a Bayesian method for the restoration of video sequences compressed using the discrete cosine transform (DCT). Two elements, both part of the Bayesian observation model, distinguish the proposed algorithm from the majority of other methods in the literature. The proposed algorithm incorporates temporal information from nearby frames -- past, present and future -- when forming an estimate of the current frame. Furthermore, this work uses a spatially-varying noise model to account for the noise introduced by quantization of the DCT coefficients. These two aspects of the observation model are used in conjunction with a Huber-Markov Random Field (HMRF) model to form a Bayesian estimate of each frame in the compressed video sequence.

Citation Download Citation

Mark A. Robertson and Robert L. Stevenson "Restoration of compressed video using temporal information", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411816

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