Li, Xuelong and Tao, D. and Gao, X. and Lu, W. (2009) A natural image quality evaluation metric. Signal Processing 89 (4), pp. 548-555. ISSN 0165-1684.
Abstract
Reduced-reference (RR) image quality assessment (IQA) metrics evaluate the quality of a distorted (or degraded) image by using some, not all, information of the original (reference) image. In this paper, we propose a novel RR IQA metric based on hybrid wavelets and directional filter banks (HWD). With HWD as a pre-processing stage, the newly proposed metric mainly focuses on subbands coefficients of the distorted and original images. It performs well under low data rate, because only a threshold and several proportion values are recorded from the original images and transmitted. Experiments are carried out upon well recognized data sets and the results demonstrate advantages of the metric compared with existing ones. Moreover, a separate set of experiments shows that this proposed metric has good consistency with human subjective perception.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | image quality assessment, reduced reference, hybrid wavelets and directional filter banks |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 11 Jul 2013 16:07 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7658 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
