Abstract
Virtual Reality (VR), which brings immersive experiences to viewers, has been gaining popularity in recent years. A key feature in VR systems is the use of omnidirectional content, which provides 360-degree views of scenes. In this work, we study the human quality perception of omnidirectional images, focusing on different zones surrounding the foveation point. For that purpose, an extensive subjective experiment is carried out to assess the perceptual quality of omnidirectional images with non-uniform quality. Through experimental results, the impacts of different zones are analyzed. Moreover, nineteen objective quality metrics, including foveal quality metrics, are evaluated using our database. It is quantitatively shown that the zones corresponding to the fovea and parafovea of human eyes are extremely important for quality perception, while the impacts of the other zones corresponding to the perifovea and periphery are small. Besides, the investigated metrics are found to be not effective enough to reflect the quality perceived by viewers.
Highlights
In order to bring immersive experiences to viewers, virtual reality (VR) systems employ omnidirectional content which contains 360-degree views of scenes
EVALUATION OF QUALITY METRICS In this part, by using our database, we evaluate the performances of twenty-five existing objective quality metrics (OQM)
The PW column indicates whether a metric differentiates the contributions of different pixels; and the FF column indicates whether a metric takes into account the foveation feature of the human eye
Summary
In order to bring immersive experiences to viewers, virtual reality (VR) systems employ omnidirectional content which contains 360-degree views of scenes. There have been some studies on subjective quality assessments of omnidirectional content [13]–[16] In these studies, various distortion types such as compression and Gaussian blur are employed to generate images rated in experiments. In [7], the authors focus on answering the question of how to spatially reduce image quality without causing impacts on user perception For that purpose, they propose to divide an omnidirectional image into three zones according to three regions of the human retina, namely the macula, the near periphery, and the far periphery. To the best of our knowledge, no extensive evaluation of objective quality metrics for omnidirectional images with non-uniform quality has been conducted in the literature. Subjective study on the impacts of retina-related zones on quality perception of omnidirectional images.
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