Eye movement analysis of image quality parameters compared to subjective image quality assessment
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 q...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2017-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/280291 |
| _version_ | 1797207774838390784 |
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| author | Jure Ahtik Marica Starešinič |
| author_facet | Jure Ahtik Marica Starešinič |
| author_sort | Jure Ahtik |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:28:16Z |
| format | Article |
| id | doaj.art-d8e4466945a141b5b9496c2f42e00eb8 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:28:16Z |
| publishDate | 2017-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-d8e4466945a141b5b9496c2f42e00eb82024-04-15T14:28:14ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392017-01-012461833183910.17559/TV-20161213185321Eye movement analysis of image quality parameters compared to subjective image quality assessmentJure Ahtik0Marica Starešinič1University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Textiles, Graphic Arts and Design Snežniška 5, 1000 Ljubljana, SloveniaUniversity of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Textiles, Graphic Arts and Design Snežniška 5, 1000 Ljubljana, SloveniaImage 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.https://hrcak.srce.hr/file/280291crowdsourcingeye movementeye-trackingimage qualityphotographyquality parameters |
| spellingShingle | Jure Ahtik Marica Starešinič Eye movement analysis of image quality parameters compared to subjective image quality assessment Tehnički Vjesnik crowdsourcing eye movement eye-tracking image quality photography quality parameters |
| title | Eye movement analysis of image quality parameters compared to subjective image quality assessment |
| title_full | Eye movement analysis of image quality parameters compared to subjective image quality assessment |
| title_fullStr | Eye movement analysis of image quality parameters compared to subjective image quality assessment |
| title_full_unstemmed | Eye movement analysis of image quality parameters compared to subjective image quality assessment |
| title_short | Eye movement analysis of image quality parameters compared to subjective image quality assessment |
| title_sort | eye movement analysis of image quality parameters compared to subjective image quality assessment |
| topic | crowdsourcing eye movement eye-tracking image quality photography quality parameters |
| url | https://hrcak.srce.hr/file/280291 |
| work_keys_str_mv | AT jureahtik eyemovementanalysisofimagequalityparameterscomparedtosubjectiveimagequalityassessment AT maricastaresinic eyemovementanalysisofimagequalityparameterscomparedtosubjectiveimagequalityassessment |