A low complexity predicted vector quantization scheme

IEEE Transactions on Consumer Electronics ◽

10.1109/30.477230 ◽

1995 ◽

Vol 41 (4) ◽

pp. 1108-1117 ◽

Cited By ~ 3

Author(s):

P.W.M. Tsang ◽

W.T. Lee

Keyword(s):

Vector Quantization ◽

Low Complexity ◽

Quantization Scheme

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A low complexity multiresolution approach to image compression using pruned nested tree-structured vector quantization

Proceedings of 1st International Conference on Image Processing ◽

10.1109/icip.1994.413382 ◽

2002 ◽

Cited By ~ 3

Author(s):

S.M. Perlmutter ◽

R.M. Gray

Keyword(s):

Image Compression ◽

Vector Quantization ◽

Low Complexity

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An efficient versatile fast correlation vector quantization scheme based reversible data hiding on image processing

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-020-01978-0 ◽

2020 ◽

Author(s):

K. R. Prabha ◽

M. Jagadeeswari ◽

B. Nataraj

Keyword(s):

Image Processing ◽

Vector Quantization ◽

Data Hiding ◽

Reversible Data Hiding ◽

Quantization Scheme ◽

Correlation Vector

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Variable rate vector quantization scheme based on quadtree segmentation

IEEE Transactions on Consumer Electronics ◽

10.1109/30.793414 ◽

1999 ◽

Vol 45 (2) ◽

pp. 310-317 ◽

Cited By ~ 12

Author(s):

Yu-Chen Hu ◽

Chin-Chen Chang

Keyword(s):

Vector Quantization ◽

Quantization Scheme ◽

Variable Rate ◽

Rate Vector

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Low complexity vector quantization algorithm for codebook optimization

2012 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2012.6214494 ◽

2012 ◽

Author(s):

Bing Hui ◽

Kyung Hi Chang

Keyword(s):

Vector Quantization ◽

Low Complexity

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Low-Complexity Source Coding Using Gaussian Mixture Models, Lattice Vector Quantization, and Recursive Coding with Application to Speech Spectrum Quantization

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tsa.2005.855839 ◽

2006 ◽

Vol 14 (2) ◽

pp. 524-532 ◽

Cited By ~ 19

Author(s):

A.D. Subramaniam ◽

W.R. Gardner ◽

B.D. Rao

Keyword(s):

Mixture Models ◽

Vector Quantization ◽

Source Coding ◽

Gaussian Mixture Models ◽

Low Complexity ◽

Gaussian Mixture ◽

Lattice Vector ◽

Lattice Vector Quantization ◽

Speech Spectrum

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Prediction error image coding using a modified stochastic vector quantization scheme

Proceedings of 3rd IEEE International Conference on Image Processing ◽

10.1109/icip.1996.560528 ◽

2002 ◽

Cited By ~ 1

Author(s):

L. Torres ◽

M. Mora ◽

J.R. Casas

Keyword(s):

Vector Quantization ◽

Image Coding ◽

Prediction Error ◽

Quantization Scheme ◽

Stochastic Vector

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A Low-Complexity Method for Fixed-Rate Entropy-Constrained Vector Quantization

IEEE Transactions on Communications ◽

10.1109/tcomm.2006.876849 ◽

2006 ◽

Vol 54 (6) ◽

pp. 1030-1037 ◽

Cited By ~ 1

Author(s):

S. Nikneshan ◽

A.K. Khandani

Keyword(s):

Vector Quantization ◽

Low Complexity ◽

Fixed Rate

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Low complexity predictive vector quantization of LSF parameters

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1004845 ◽

2002 ◽

Author(s):

Petrinovic ◽

Petrinovic

Keyword(s):

Vector Quantization ◽

Low Complexity

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Improved Mean-Removed Vector Quantization Scheme for Grayscale Image Coding

International Journal of Signal Processing Image Processing and Pattern Recognition ◽

10.14257/ijsip.2013.6.5.28 ◽

2013 ◽

Vol 6 (5) ◽

pp. 315-332 ◽

Cited By ~ 1

Author(s):

Jun-Chou Chuang ◽

Yu-Chen Hu ◽

Chun-Chi Lo ◽

Wu-Lin Chen ◽

Chia-Hsien Wen

Keyword(s):

Vector Quantization ◽

Image Coding ◽

Quantization Scheme ◽

Grayscale Image

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SECURE IMAGE HIDING SCHEME BASED UPON VECTOR QUANTIZATION

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001404003526 ◽

2004 ◽

Vol 18 (06) ◽

pp. 1111-1130 ◽

Cited By ~ 11

Author(s):

YU-CHEN HU ◽

MIN-HUI LIN

Keyword(s):

Vector Quantization ◽

Experimental Results ◽

Cover Image ◽

Quantization Scheme ◽

Gray Level ◽

Host Image ◽

Image Hiding ◽

Gray Level Image ◽

Multiple Secret Images ◽

Average Image

In this paper, a novel gray-level image-hiding scheme is proposed. The goal of this scheme is to hide multiple important gray-level images into another meaningful gray-level image. The secret images to be protected are first compressed using the vector quantization scheme. Then, the DES cryptosystem is conducted on the VQ indices and related parameters to generate the encrypted message. Finally, the encrypted message is embedded into the rightmost two bits of each pixel in the cover image. According to the experimental results, average image qualities of 44.320 dB and 30.885 dB are achieved for the embedded images and the retrieved secret images, respectively. In other words, multiple secret images can be effectively hidden into one host image of the same size. In addition, the proposed scheme strengthens the protection of the secret images by conducting the DES cryptosystem on the related parameters and the VQ indices of the compressed secret images. Therefore, the proposed scheme provides a secure approach to embed multiple important images into another meaningful image of the same size.

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