Yang Liu, Runqiang Jiang, Hongjun Yu, Jian Chen. Subjective Image Quality Assessment for Large Samples[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131103
- Laser & Optoelectronics Progress
- Vol. 56, Issue 13, 131103 (2019)
Fig. 1. Screenshot of software used in subjective assessment experiments of TID2013
Fig. 2. Effects of r1 and r2 on results of subjective assessment
Fig. 3. Screenshot of software used in cyclical integrating
Fig. 4. Screenshot of software used in selecting best quality
Fig. 5. Screenshot of software used in adjusting sequence
Fig. 6. Reference image
Fig. 7. Results of subjective assessment experiments
Fig. 8. Dynamic clustering diagram of images
Fig. 9. Subjective assessment scores of image quality
Fig. 10. Screenshot of software used in test of just-noticeable difference
Fig. 11. Areas that are easily perceived to change in quality
Fig. 12. Euclidean distances between test results and true values
Fig. 13. STDs of results obtained by proposed method
Fig. 14. Comparison of STDs between proposed method and other image quality databases
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Table 1. Widely used image quality databases
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Table 2. Experiments of subjective assessment
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Table 3. Quality scale of subjective assessment for ITU-R BT.500-13
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Table 4. Simplified quality scale of subjective assessment
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Table 5. Mean JND
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