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Post-processing block coded images using artificial neural networks

Post-processing block coded images using artificial neural networks
Post-processing block coded images using artificial neural networks
In this paper, a technique employing artificial neural networks for post-processing block coded images is presented. Visually important image features are extracted from the decompressed image and used as input to a feedforward neural network. The neural network learns to reconstruct the difference image between the original (uncompressed) and the decompressed image. Coding artifact reduction is achieved by adding the neural networks output to the decompressed image. Experimental results
using the new technique for post-processing
quadtree coded images are presented. It is shown
the new technique can significantly improve the
compressed image both in terms of peak signal to noise ratio (PSNR) and visual quality of the image.
684-687
Qiu, G.
1cc6d45f-e01d-4eb2-8467-fcbd51b3d49d
He, Z.
c7048a1b-3632-409a-96f5-e82b998d4754
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Qiu, G.
1cc6d45f-e01d-4eb2-8467-fcbd51b3d49d
He, Z.
c7048a1b-3632-409a-96f5-e82b998d4754
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80

Qiu, G., He, Z. and Chen, S. (1997) Post-processing block coded images using artificial neural networks. Proceedings of 6th IEE International Conference on Image Processing and Its Applications. pp. 684-687 .

Record type: Conference or Workshop Item (Other)

Abstract

In this paper, a technique employing artificial neural networks for post-processing block coded images is presented. Visually important image features are extracted from the decompressed image and used as input to a feedforward neural network. The neural network learns to reconstruct the difference image between the original (uncompressed) and the decompressed image. Coding artifact reduction is achieved by adding the neural networks output to the decompressed image. Experimental results
using the new technique for post-processing
quadtree coded images are presented. It is shown
the new technique can significantly improve the
compressed image both in terms of peak signal to noise ratio (PSNR) and visual quality of the image.

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More information

Published date: 1997
Additional Information: IEE 6th International Conference on Image Processing and Its Applications (Dublin, Ireland), July 14-17, 1997. Organisation: IEE
Venue - Dates: Proceedings of 6th IEE International Conference on Image Processing and Its Applications, 1997-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251015
URI: http://eprints.soton.ac.uk/id/eprint/251015
PURE UUID: 5e462aa6-9380-433f-bf41-84b60a6383dc

Catalogue record

Date deposited: 31 Mar 2000
Last modified: 01 Feb 2022 17:48

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Contributors

Author: G. Qiu
Author: Z. He
Author: S. Chen

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