ANALYSIS AND QUALITY CONTROL OF NOISE REDUCTION IN DIGITAL PHOTOGRAPHS
DOI:
https://doi.org/10.24867/26EF01BabicKeywords:
Digital photo processing, noise, SSIM metrics, artificial intelligence, MDSAbstract
This paper describes noise, types of noise and procedures for its removal, as well as photo quality control through theoretical foundations. In the practical part, correction was made on examples of photographs in JPG and RAW format, and the results of quality control research using SSIM metrics were presented.
References
[1] https://retouchingacademy.com/qualities-of-digital-images-understanding-image-noise/#:~:text=Three%20Types%20of%20Image%20Noise,pattern%20noise%2C%20and%20banding%20noise./ (pristupljeno u julu 2023)
[2] I. Karlović, I. Tomić i I. Rilovski, “Digitalna reprofotografija”, Fakultet tehničkih nauka, Novi Sad, 2012, str. 149-150.
[3] https://www.mathworks.com/help/images/noise-removal.html (pristupljeno u julu 2023)
[4] http://www.cns.nyu.edu/~lcv/ssim/ (pristupljeno u julu 2023)
[5] J. Phillips, H. Eliasson, “Camera Image Quality Benchmarking”, John Wiley and Sons Ltd, 2018. pp. 253–260.
[2] I. Karlović, I. Tomić i I. Rilovski, “Digitalna reprofotografija”, Fakultet tehničkih nauka, Novi Sad, 2012, str. 149-150.
[3] https://www.mathworks.com/help/images/noise-removal.html (pristupljeno u julu 2023)
[4] http://www.cns.nyu.edu/~lcv/ssim/ (pristupljeno u julu 2023)
[5] J. Phillips, H. Eliasson, “Camera Image Quality Benchmarking”, John Wiley and Sons Ltd, 2018. pp. 253–260.
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Published
2024-02-04
Issue
Section
Gaphic Engineering and Design
