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Visual vector quantization for image compression based on Laplacian pyramid structure

Visual vector quantization for image compression based on Laplacian pyramid structure
Visual vector quantization for image compression based on Laplacian pyramid structure
In this paper, we propose a new image coding scheme based on the Laplacian pyramid structure (LPS) and the visual vector quantization (VVQ). In this new scheme, the LPS is used to generate the residual image sequence, and the VVQ is used to code these residual images. Comparing with other block-based coding methods, the new scheme has much less blocking effects on the reconstructed image since coding is performed on the basis of hierarchical multiresolution blocks. The new scheme also has an additional advantage of a much lower computational cost over traditional vector quantization (VQ) techniques since encoding and decoding are based on much smaller dimensional 'visual vectors'. Experimental results show that the new scheme can achieve comparable rate distortion performance to that of traditional VQ techniques, while the computational complexity of the new scheme is only a fraction of that of traditional VQ techniques.
7-10
Elsevier
He, Z.
c7048a1b-3632-409a-96f5-e82b998d4754
Qiu, G.
1cc6d45f-e01d-4eb2-8467-fcbd51b3d49d
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mertzios, Basil G
Liatsis, Panos
He, Z.
c7048a1b-3632-409a-96f5-e82b998d4754
Qiu, G.
1cc6d45f-e01d-4eb2-8467-fcbd51b3d49d
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mertzios, Basil G
Liatsis, Panos

He, Z., Qiu, G. and Chen, Sheng (1996) Visual vector quantization for image compression based on Laplacian pyramid structure. Mertzios, Basil G and Liatsis, Panos (eds.) In Proceedings IWISP '96: , 4-7 November 1996,Manchester,UK: Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence. Elsevier. pp. 7-10 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we propose a new image coding scheme based on the Laplacian pyramid structure (LPS) and the visual vector quantization (VVQ). In this new scheme, the LPS is used to generate the residual image sequence, and the VVQ is used to code these residual images. Comparing with other block-based coding methods, the new scheme has much less blocking effects on the reconstructed image since coding is performed on the basis of hierarchical multiresolution blocks. The new scheme also has an additional advantage of a much lower computational cost over traditional vector quantization (VQ) techniques since encoding and decoding are based on much smaller dimensional 'visual vectors'. Experimental results show that the new scheme can achieve comparable rate distortion performance to that of traditional VQ techniques, while the computational complexity of the new scheme is only a fraction of that of traditional VQ techniques.

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Published date: 4 November 1996
Venue - Dates: IWSSIP 1996: 3rd International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence, , Manchester, United Kingdom, 1996-11-04 - 1996-11-07

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Local EPrints ID: 454142
URI: http://eprints.soton.ac.uk/id/eprint/454142
PURE UUID: cd5884f6-755c-46ae-9df4-c820ce7c44f1

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Date deposited: 01 Feb 2022 17:42
Last modified: 01 Feb 2022 17:42

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Contributors

Author: Z. He
Author: G. Qiu
Author: Sheng Chen
Editor: Basil G Mertzios
Editor: Panos Liatsis

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