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Tehnički vjesnik, Vol.24 No.6 Prosinac 2017.

Izvorni znanstveni članak
https://doi.org/10.17559/TV-20161213185321

Eye movement analysis of image quality parameters compared to subjective image quality assessment

Jure Ahtik ; University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Textiles, Graphic Arts and Design Snežniška 5, 1000 Ljubljana, Slovenia
Marica Starešinič ; University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Textiles, Graphic Arts and Design Snežniška 5, 1000 Ljubljana, Slovenia

Puni tekst: engleski, pdf (2 MB) str. 1833-1839 preuzimanja: 0* citiraj
APA
Ahtik, J., Starešinič, M. (2017). Eye movement analysis of image quality parameters compared to subjective image quality assessment. Tehnički vjesnik, 24(6). doi:10.17559/TV-20161213185321
Puni tekst: hrvatski, pdf (2 MB) str. 1833-1839 preuzimanja: 0* citiraj
APA
Ahtik, J., Starešinič, M. (2017). Analiza kretanja očiju parametara kvalitete slike u usporedbi s subjektivnom procjenom kvalitete slike. Tehnički vjesnik, 24(6). doi:10.17559/TV-20161213185321

Sažetak
Image quality can be determined by using objective or subjective quality assessment methods. Objective methods are based on mathematical measures, such as PSNR, SSIM or RMSE and subjective testing is generally performed by asking the participants which of the given options they prefer or to give a quality score for the presented options. For each image quality evaluation, an image database is required. We developed a novel image database that consists of 30 images on which we applied some manipulations based on different quality parameters. First we conducted testing with the eye-tracking method: by showing images to test participants and measuring their eye movement, we received accurate information about how each of the image quality parameters affected the communication value of each image. The subjective quality assessment method we then employed involved the development of an application for crowdsourcing-based testing. Participants had to determine which of the images the best were. Finally, a correlation between both methods was determined.

Ključne riječi
crowdsourcing; eye movement; eye-tracking; image quality; photography; quality parameters

Hrčak ID: 190181

URI
http://hrcak.srce.hr/190181

[hrvatski]

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