Generalized threshold replenishment: an adaptive vector quantization algorithm for the coding of nonstationary sources

In this paper, we describe a new adaptive-vector-quantization (AVQ) algorithm designed for the coding of non-stationary sources. This new algorithm, generalized threshold replenishment (GTR), differs from prior AVQ algorithms in that it features an explicit, online consideration of both rate and dis...

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Vydáno v:IEEE transactions on image processing Ročník 7; číslo 10; s. 1410 - 1424
Hlavní autor: Fowler, J.E.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.10.1998
Institute of Electrical and Electronics Engineers
Témata:
Algorithm design and analysis
Applied sciences
Costs
Exact sciences and technology
Hardware
Image coding
Image processing
Image sequences
Information, signal and communications theory
Pixel
Random processes
Rate distortion theory
Rate-distortion
Signal processing
Software algorithms
Telecommunications and information theory
Software tool
Non stationary system
Adaptive algorithm
Vector quantization
Image processing
Coding
Image sequence
Deformation ratio
Real time processing
Implementation
ISSN:1057-7149
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Shrnutí:In this paper, we describe a new adaptive-vector-quantization (AVQ) algorithm designed for the coding of non-stationary sources. This new algorithm, generalized threshold replenishment (GTR), differs from prior AVQ algorithms in that it features an explicit, online consideration of both rate and distortion. Because of its online nature, GTR is more amenable to real-time hardware and software implementation than are many prior AVQ algorithms that rely on traditional batch training methods. Additionally, as rate-distortion cost criteria are used in both the determination of nearest-neighbor codewords and the decision to update the codebook, GTR achieves rate-distortion performance superior to that of other AVQ algorithms, particularly for low-rate coding. Results are presented that illustrate low-rate performance surpassing that of other AVQ algorithms for the coding of both an image sequence and an artificial non-stationary random process. For the image sequence, it is shown that (1) most AVQ algorithms achieve distortion much lower than that of nonadaptive VQ for the same rate (about 1.5 b/pixel), and (2) GTR achieves performance substantially superior to that of the other AVQ algorithms for low-rate coding, being the only algorithm to achieve a rate below 1.0 b/pixel.
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ISSN:1057-7149
DOI:10.1109/83.718482