Visual attention modeling: region-of-interest versus fixation patterns
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
How to apply spatial saliency into objective metrics for JPEG compressed images?
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Overt visual attention for free-viewing and quality assessment tasks
Image Communication
Visual quality assessment algorithms: what does the future hold?
Multimedia Tools and Applications
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Human observer confidence in image quality assessment
Image Communication
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Human visual fixation patterns can provide important insights into how biological systems address the image-analysis problem. This paper presents the results of two eye-tracking experiments designed to investigate how normal visual fixations may be affected when judging image quality. We asked (1) whether people look at different regions when judging image quality vs. just looking; and (2) how different types and amounts of distortion affect fixations. We found that white noise and blurring do not change fixations relative to the task-free condition, whereas compression artifacts can influence fixations, depending on the amount of distortion.