Modelling of the video DCT coefficients

In this paper, the normal inverse Gaussian probability density function (PDF) is presented as a highly suitable prior for modelling the DCT coefficients of videos. The parameters of the proposed prior are estimated by minimizing the Kullback-Leibler divergence between the prior and the empirical PDF...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Bhuiyan, M.I.H., Rahman, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Discrete cosine transforms Image coding Laplace equations Parameter estimation Probability distribution Quantization Signal processing Videoconference Watermarking
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