Lu, W. and Gao, X. and Li, Xuelong and Tao, D. (2008) An image quality assessment metric based contourlet. In: UNSPECIFIED (ed.) International Conference on Image Processing. New York, USA: Institute of Electrical and Electronics Engineers, pp. 1172-1175. ISBN 9781424417650.
Abstract
In reduced-reference (RR) image quality assessment (IQA), the visual quality of distorted images is evaluated with only partial information extracted from original images. In this paper, by considering the information of textures and directions during image distortion, we propose a new reduced- reference IQA metric to calculate the diversifications based on contourlet transform Experimental results illustrate that even with low data rate, the presented metric has still good consistency with the subjective perception.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 12 Jul 2013 09:41 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7668 |
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