Image coding using wavelet transform and classified vector quantisation

Lin, Shaohui; Salari, Ezzatollah

doi:10.1049/ip-vis:19960592

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…This section briefly shows three processes used in HPFRIH method: (1) Haar discrete wavelet transformation [9], (2) arithmetic coding, and (3) adaptive arithmetic coding.…”

Section: Related Workmentioning

confidence: 99%

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A high payload frequency-based reversible image hiding method

Chang

Pai

Yeh

et al. 2010

Information Sciences

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“…This section briefly shows three processes used in HPFRIH method: (1) Haar discrete wavelet transformation [9], (2) arithmetic coding, and (3) adaptive arithmetic coding.…”

Section: Related Workmentioning

confidence: 99%

“…Many image hiding methods have been proposed over the past decade [4,5,8,9,13,16,17]. The criteria for measuring the performance of any image hiding method are [12]:…”

Section: Introductionmentioning

confidence: 99%

A high payload frequency-based reversible image hiding method

Chang

Pai

Yeh

et al. 2010

Information Sciences

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“…In the same year, Lin and Salari (1996) utilized the correlation between scales to code the wavelet coefficients. They stated that the edges contain a wide range of high-frequency components, and hence provide high-magnitude wavelet coefficients in more than one resolution.…”

Section: Wavelet Transform Codingmentioning

confidence: 99%

Wavelet‐based adaptive vector quantization for still‐image coding

Chen

Hsieh

2002

Int J Imaging Syst Tech

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Wavelet transform coding (WTC) with vector quantization (VQ) has been shown to be efficient in the application of image compression. An adaptive vector quantization coding scheme with the Gold-Washing dynamic codebook-refining mechanism in the wavelet domain, called symmetric wavelet transform-based adaptive vector quantization (SWT-GW-AVQ), is proposed for still-image coding in this article. The experimental results show that the GW codebook-refining mechanism working in the wavelet domain rather than the spatial domain is very efficient, and the SWT-GW-AVQ coding scheme may improve the peak signal-to-noise ratio (PSNR) of the reconstructed images with a lower encoding time.

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Image coding using vector quantization with a hierarchical codebook in wavelet domain

Chen

Lin

et al. 1999

IEEE Trans. Consumer Electron.

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Image coding using wavelet transform and classified vector quantisation

Cited by 5 publications

References 12 publications

A high payload frequency-based reversible image hiding method

A high payload frequency-based reversible image hiding method

Wavelet‐based adaptive vector quantization for still‐image coding

Image coding using vector quantization with a hierarchical codebook in wavelet domain

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