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| Content Provider | IET Digital Library |
|---|---|
| Author | Lu, Yanan Xie, Fengying Jiang, Zhiguo Meng, Rusong |
| Abstract | Image quality assessment (IQA) research strongly depends upon subjective experiments to provide ground truth to train and evaluate the IQA algorithms. These subjective experiments are cumbersome and expensive. An objective method based on human visual characteristics is proposed to generate the ground truth for distortion images. The proposed metric called Normalised Objective Distortion Score (NODS), using the logarithm of distortion parameter as the image quality score, is easily realised so that much manpower and time cost can be saved. The effectiveness of NODS has been analysed through experiments on five state-of-the-art IQA algorithms, and the result shows that the NODS is stable and can work as well as the subjective score when evaluating the performance of the IQA algorithms. |
| Starting Page | 987 |
| Ending Page | 989 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 49 |
| e-ISSN | 1350911X |
| Issue Number | Issue 16, Aug (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/49/16 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2013.1188 |
| Journal | Electronics Letters |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Computer Vision And Image Processing Technique Distortion Image Distortion Parameter Ground Truth Human Visual Characteristic Image Processing Image Quality Assessment Image Quality Score IQA Algorithm IQA Research Manpower NODS Normalised Objective Distortion Score Optical, Image And Video Signal Processing Time Cost |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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