Bong, D.B.L and Khoo, B.E (2012) Image noise severity metric. Proceedings of the SPIE, 8334. 83343I-83343I.
Full text not available from this repository.Abstract
We propose in this paper an image noise severity measurement method that correlates well with human's quality perception on the presence of noise in images. In our approach, a 32x32 pixels mask is used to compute the differences between the original and noise-degraded images in terms of the statistical means and outlier values. These differences are formulated and then compared to the quality scores from the subjective evaluations. The degraded images were distorted by two common types of random noise for images - Gaussian white noise and impulse noise. Experiment results showed that this approach obtained higher correlation compare to classical Peak Signal to Noise Ratio (PSNR) method.
| Item Type: | Article |
|---|---|
| Additional Information: | Universiti Malaysia Sarawak, (UNIMAS) |
| Uncontrolled Keywords: | image noise severity measurement method, Gaussian white noise, impulse noise, UNIMAS, Universiti Malaysia Sarawak, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 23 May 2014 09:05 |
| Last Modified: | 24 Mar 2015 00:27 |
| URI: | http://ir.unimas.my/id/eprint/3013 |
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