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POPULAR DCT MODELS

SARALEES NADARAJAH

School of Mathematics, University of Manchester, Manchester M60 1QD, UK

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and

SAMUEL KOTZ

Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC 20052, USA

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https://doi.org/10.1142/S0219691307002014Cited by:1 (Source: Crossref)

Abstract

It is well known that the distribution of the discrete cosine transform (DCT) coefficients of most natural images follows a Laplace distribution. In this note, using a Bayesian approach, we derive two popular models for the distribution of the actual DCT coefficient. We illustrate the superior performance of these models over the standard Laplace model.

Keywords:

AMSC: 33C90, 62E99

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