Abstract
The diverse display screen imposes significant challenges for assessing the perceptual media quality across different mobile devices. In this paper, the perceived image quality on different mobile phones is investigated. Firstly, subjective experiments for image quality evaluation are implemented on 9 popular mobile phones and a broadcast-quality monitor to evaluate the impact on perceived image quality regarding the screen resolution, screen size, image resolution, and image coding quality. Furthermore, the effect of mutual interaction between the image resolution and screen resolution is analyzed and an integrated assessment parameter is proposed to establish a device-dependent image quality assessment model. This model can be used to predict the user’s perceptual quality of the images displayed on different mobile devices. Experimental results using twofold cross-validation indicate that the proposed model can accurately estimate users’ perceived image quality on mobile devices.
Highlights
Mobile phones have become a crucial part in one’s daily life, leading to rapid growth of mobile multimedia applications and fast development of related hardware technologies
To reflect the limitation caused by the screen resolution on the perceived image quality, an integrated assessment parameter, that is, the density of the effective image pixels per inch displayed on the screen (ED-PPI), is proposed
A wide range of popular mobile phones are selected in the subjective experiments to investigate the impact of image resolution, screen size, and screen resolution on user’s perceived image quality
Summary
Mobile phones have become a crucial part in one’s daily life, leading to rapid growth of mobile multimedia applications and fast development of related hardware technologies. Some literatures have been involved with subjective experiments on mobile devices for media quality evaluation [7,8,9,10,11], they still addressed the characteristics of image or video sources or only focused on the impact of the assessment technologies. A full-reference objective VQA algorithm, named as SSIMplus, was proposed in [23], where properties of the display device and viewing conditions were considered In these works reported in literature, the tested mobile devices were rather limited, and they were of low screen resolutions and small sizes, which cannot catch the state of the art of the rapidly growing resolution of smartphones. The results of statistical analysis is helpful in indicating whether the user’s perceived image quality can be improved by enhancing the screen resolution from 1080P to Quad HD. Combining the ED-PPI and the image coding quality (ICQ), a device-dependent image quality assessment model is proposed to advise the perceived image quality on different mobile phones
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