NDLI: Comparison of Generalized Gaussian and Cauchy distributions in modeling of dyadic rearranged 2D DCT coefficients

Content Provider	IEEE Xplore Digital Library
Author	Nath, V.K. Hazarika, D.
Copyright Year	2012
Description	Author affiliation: Deptt. of Electronics and Communication Engg., Tezpur University, Napaam, Assam, india (Nath, V.K.; Hazarika, D.)
Abstract	The dyadic rearrangement of block two-dimensional Discrete Cosine Transform (2D DCT) coefficients when used with zero tree quantizers show comparable performance with that of discrete wavelet transform based methods for image compression applications. Recently we have shown that Generalized Gaussian distribution better models the statistics of subband rearranged 2D DCT coefficients compared to Gaussian, Laplacian and Gamma distributions. This paper presents results of distribution tests that indicate that for most of the natural images Cauchy distribution models the subband coefficients more accurately than Generalized Gaussian distribution. The knowledge of the suitable distribution helps in design of optimal quantizers that may lead to minimum distortion and hence achieve optimal coding efficiency.
Starting Page	89
Ending Page	92
File Size	898243
Page Count	4
File Format	PDF
ISBN	9781457707490
e-ISBN	9781457707483
DOI	10.1109/NCETACS.2012.6203305
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-30
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Image coding Statistical analysis Estimation 2D DCT Lead $χ^{2}$ test Image compression Discrete cosine transforms Mathematical model Equations Dyadic rearrangement
Content Type	Text
Resource Type	Article

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