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8 February 2015 Perceived image quality assessment for color images on mobile displays
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Proceedings Volume 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications; 93950U (2015) https://doi.org/10.1117/12.2083824
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
With increase in size and resolution of mobile displays and advances in embedded processors for image enhancement, perceived quality of images on mobile displays has been drastically improved. This paper presents a quantitative method to evaluate perceived image quality of color images on mobile displays. Three image quality attributes, colorfulness, contrast and brightness, are chosen to represent perceived image quality. Image quality assessment models are constructed based on results of human visual experiments. In this paper, three phase human visual experiments are designed to achieve credible outcomes while reducing time and resources needed for visual experiments. Values of parameters of image quality assessment models are estimated based on results from human visual experiments. Performances of different image quality assessment models are compared.
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Hyesung Jang and Choon-Woo Kim "Perceived image quality assessment for color images on mobile displays", Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 93950U (8 February 2015); https://doi.org/10.1117/12.2083824
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