DocumentCode
1271978
Title
Universal trellis coded quantization
Author
Kasner, James H. ; Marcellin, Michael W. ; Hunt, Bobby R.
Author_Institution
The Aerospace Corp., Chantilly, VA, USA
Volume
8
Issue
12
fYear
1999
fDate
12/1/1999 12:00:00 AM
Firstpage
1677
Lastpage
1687
Abstract
A new form of trellis coded quantization based on uniform quantization thresholds and “on-the-fly” quantizer training is presented. The universal trellis coded quantization (UTCQ) technique requires neither stored codebooks nor a computationally intense codebook design algorithm. Its performance is comparable with that of fully optimized entropy-constrained trellis coded quantization (ECTCQ) for most encoding rates. The codebook and trellis geometry of UTCQ are symmetric with respect to the trellis superset. This allows sources with a symmetric probability density to be encoded with a single variable-rate code. Rate allocation and quantizer modeling procedures are given for UTCQ which allow access to continuous quantization rates. An image coding application based on adaptive wavelet coefficient subblock classification, arithmetic coding, and UTCQ is presented. The excellent performance of this coder demonstrates the efficacy of UTCQ. We also present a simple scheme to improve the perceptual performance of UTCQ for certain imagery at low bit rates. This scheme has the added advantage of being applied during image decoding, without the need to reencode the original image
Keywords
adaptive codes; arithmetic codes; data compression; decoding; image classification; image coding; quantisation (signal); rate distortion theory; transform coding; trellis codes; wavelet transforms; UTCQ; adaptive wavelet coefficient subblock classification; arithmetic coding; codebook; distortion rate performance; encoding rates; entropy-constrained trellis coded quantization; image coding application; image decoding; low bit rates; on-the-fly quantizer training; perceptual performance; quantizer modeling; rate allocation; symmetric probability density; trellis geometry; uniform quantization thresholds; universal trellis coded quantization; variable-rate code; Algorithm design and analysis; Arithmetic; Bit rate; Decoding; Image coding; Information geometry; Iterative algorithms; Quantization; Switches; Wavelet coefficients;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.806615
Filename
806615
Link To Document