Trellis coded quantization of memoryless and Gauss-Markov sources

Marcellin, Michael W.; Fischer, Thomas R.

doi:10.1109/26.46532

Cited by 501 publications

(308 citation statements)

References 32 publications

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“…Part 2 [5] allows for the use of TCQ as a replacement for scalar quantization. TCQ is a particular kind of vector quantization proposed by Marcellin and Fischer [14]. The variant of TCQ used in the part 2 of the JPEG2000 standard is the entropy-coded TCQ [22].…”

Section: Trellis-coded Quantization In Jpeg2000mentioning

confidence: 99%

Joint trellis-coded quantization watermarking for JPEG2000 images

et al. 2011

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Watermarking in the Joint Photographic Experts Group (JPEG)2000 coding pipeline is investigated in this paper. A joint quantization and watermarking method based on trellis-coded quantization (TCQ) is proposed to reliably embed data during the quantization stage of the JPEG2000 part 2 codec. The central contribution of this work is the use of a single quantization module to jointly perform quantization and watermark embedding at the same time. The TCQbased watermarking technique allows embedding the watermark in the detail sub-bands of one or more resolution levels except the first one. Watermark recovery is performed after image decompression. The performance of this joint scheme in terms of image quality and robustness against common image attacks was estimated on real images.

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Section: Trellis-coded Quantization In Jpeg2000mentioning

confidence: 99%

Joint trellis-coded quantization watermarking for JPEG2000 images

et al. 2011

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“…The duality between the modulation and the source coding as well as the alphabet constrained rate-distortion theory allowed to Fischer and Marcellin to suggest the trellis coded quantization (TCQ) [11] which uses Ungerboeck's amplitude modulation trellises and set partitioning ideas of trellis coded modulation [12]- [14] to design coders for memoryless sources. This technique achieved good performance which is often better compared to the other methods of quantization in terms of both distortion and complexity.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Wideband LSF Quantization Using Algebraic Trellis VQ

Kaddai

Halimi

2009

IEICE Trans. Inf. & Syst.

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SUMMARYIn this paper an algebraic trellis vector quantization (ATVQ) that introduces algebraic codebooks into trellis coded vector quantization (TCVQ) structure is presented. Low encoding complexity and minimum memory storage requirements are achieved using the proposed approach. It exploits advantages of both the TCVQ and the algebraic codebooks to know the delayed decision, the codebook widening, the low computational complexity and the no storage of codebook. This novel vector quantization scheme is used to encode the wideband speech line spectral frequencies (LSF) parameters. Experimental results on wideband speech have shown that ATVQ yields the same performance as the traditional split vector quantization (SVQ) and the TCVQ in terms of spectral distortion (SD). It can achieve a transparent quality at 47 bits/frame with a considerable reduction of memory storage and computation complexity when compared to SVQ and TCVQ.

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“…To build practical codes for data hiding a relatively new source coding method trellis coded quantization (TCQ) [5] has attracted much attention over the past several years [2][6] [7]. Based on the duality between information embedding and channel coding with side information, Chou [2] proposes a combination of trellis coded modulation (TCM) and TCQ method.…”

Section: Introductionmentioning

confidence: 99%

A new implementation of trellis coded quantization based data hiding

Zhang

2008

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

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This paper discusses the construction and implementation problem of trellis coded quantization (TCQ) based data hiding. We explore the robustness and distortion of data hiding by analyzing its duality with distributed source coding. Based on our analysis a new implementation of the powerful trellis coded modulation (TCM) and TCQ data hiding scheme is presented. It simplifies the construction process with only one trellis and achieves a good tradeoff between robustness and distortion by embedding the information in the middle input of TCQ. Simulation is conducted for Gaussian, Laplacian and real image sources under additive Gaussian noise attack. The results demonstrate the effectiveness of the new implementation.

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Trellis coded quantization of memoryless and Gauss-Markov sources

Cited by 501 publications

References 32 publications

Joint trellis-coded quantization watermarking for JPEG2000 images

Joint trellis-coded quantization watermarking for JPEG2000 images

Low-Complexity Wideband LSF Quantization Using Algebraic Trellis VQ

A new implementation of trellis coded quantization based data hiding

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