Referenced Items are not available for this document.
Image subband and discrete cosine transform coefficients are modeled for efficient quantization and noiseless coding. Quantizers and codes are selected based on Laplacian, fixed generalized Gaussian, and adaptive generalized Gaussian models. The quantizers and codes based on the adaptive generalized Gaussian models are always superior in mean-squared error distortion performance but, generally, by no more than 0.08 bit/pixel, compared with the much simpler Laplacian model-based quantizers and noiseless codes. This provides strong motivation for the selection of pyramid codes for transform and subband image coding
Published in:
Image Processing, IEEE Transactions on
(Volume:4
,
Issue:
2
)
Date of Publication: Feb 1995
- Page(s):
- 186 - 193
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 4895255
- Digital Object Identifier :
- 10.1109/83.342184
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Feb 1995
- Sponsored by :
- IEEE Signal Processing Society
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