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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, S.
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, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Mertzios, Basil G
Liatsis, Panos

He, Z., Qiu, G. and Chen, S. (1996) Visual vector quantization for image compression based on Laplacian pyramid structure. Mertzios, Basil G and Liatsis, Panos (eds.) In Proceedings IWISP '96. 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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More information

Published date: 4 November 1996
Additional Information: 3rd International Workshop on Image and Signal Processing: Advances in Computational Intelligence (Manchester, UK) , Nov. 4-7, 1996 Organisation: IEE
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
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251010
URI: http://eprints.soton.ac.uk/id/eprint/251010
PURE UUID: eee72115-4169-4b8b-9d11-bd6bc150629e

Catalogue record

Date deposited: 31 Mar 2000
Last modified: 17 Mar 2024 01:15

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Contributors

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

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