Referenced Items are not available for this document.
Generalized Gaussian and Laplacian source models are compared in discrete cosine transform (DCT) image coding. A difference in peak signal to noise ratio (PSNR) of at most 0.5 dB is observed for encoding different images. We also compare maximum likelihood estimation of the generalized Gaussian density parameters with a simpler method proposed by Mallat (1989). With block classification based on AC energy, the densities of the DCT coefficients are much closer to the Laplacian or even the Gaussian.<
Published in:
Signal Processing Letters, IEEE
(Volume:2
,
Issue:
5
)
Date of Publication: May 1995
- Page(s):
- 81 - 82
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 4963533
- Digital Object Identifier :
- 10.1109/97.386283
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1995
- Sponsored by :
- IEEE Signal Processing Society
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