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Original scientific paper

https://doi.org/10.17559/TV-20150317101822

Visual experience of noise in digital images

Ivana Jurič orcid id orcid.org/0000-0002-8715-8737 ; University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Uroš Nedeljković orcid id orcid.org/0000-0001-5180-4365 ; University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Dragoljub Novaković orcid id orcid.org/0000-0002-6455-7233 ; University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Ivan Pinćjer ; University of Novi Sad, Faculty of Technical Sciences, Department of Graphic Engineering and Design, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia


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Abstract

Noise in the image is always present, the only question is, to what extent it is visible to the human visual system. Some images could have a significantly high level of noise, but the human eye will not perceive that. The aim of this study was to investigate the influence of image content on the perception of image noise. We used three images with different contents (highlights, many details, and uniform surfaces with midtones). Samples were simulated by adding six levels of noise in MATLAB software, using the built-in function. Those samples were measured with image quality IQ metrics: SCIELab, SSIM and IQM2. For psychophysical scaling, we used the paired-comparison method (PC-index). The results obtained in this study showed that image content influenced the perception of image noise. The image with many details was the most difficult to estimate. Those paired samples looked the same, even though they had different levels of noise.

Keywords

image quality metrics; noise; pictorial images

Hrčak ID:

167510

URI

https://hrcak.srce.hr/167510

Publication date:

13.10.2016.

Article data in other languages: croatian

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