EVALUATION OF DIGITAL IMAGES USING C, RQ AND DOG METRICS
- Authors
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Muhamediyeva D. T.
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University
Author
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Jumayev B. J.
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University
Author
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Ganiyev U. N.
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University
Author
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- Keywords:
- Image quality, C metric, RQ metric, DoG metric, image analysis
- Abstract
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In this paper, an automated system based on C, RQ, and DoG (Difference of Gaussian) metrics is developed to assess the quality of digital images. Using the Python programming language and the OpenCV library, all image files in the image folder are analyzed, and C, RQ, and DoG values are calculated for each image. The results allow us to evaluate the sharpness, edge level, and clarity of images using objective numerical indicators. The DoG metric is used to visually display an additional clarity map and its value distribution. This approach is of practical importance in computer vision, image processing, and scientific research.
- References
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1.Dumic, E., Grgic, S., Grgic, M., 2014. IQM2 – New image quality measure based on steerable pyramid wavelet transform and structural similarity index. Signal, Image and Video Processing 8(6), 1159–1168.
2.Zhu, W. et al., 2020. A multiple attributes image quality database for smartphone camera photo quality assessment. IEEE ICIP, 2990–2994.
3.Zhang, Z. et al., 2022. A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps. IEEE ISCAS, 3170–3174.
4.Kocić, J., Popadić, I., Livada, B., 2016. Image quality parameters: A short review and applicability analysis. Belgrade Conference, 391–397.
5.Streijl, R. C., Winkler, S., Hands, D. S., 2016. Mean opinion score (MOS) revisited. Multimedia Systems 22(2), 213–227.
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- Published
- 2026-04-15
- Issue
- Vol. 2 No. 4 (2026)
- Section
- Articles
- License
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This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
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