28 January 2008 Measuring multivariate subjective image quality for still and video cameras and image processing system components
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Abstract
The subjective quality of an image is a non-linear product of several, simultaneously contributing subjective factors such as the experienced naturalness, colorfulness, lightness, and clarity. We have studied subjective image quality by using a hybrid qualitative/quantitative method in order to disclose relevant attributes to experienced image quality. We describe our approach in mapping the image quality attribute space in three cases: still studio image, video clips of a talking head and moving objects, and in the use of image processing pipes for 15 still image contents. Naive observers participated in three image quality research contexts in which they were asked to freely and spontaneously describe the quality of the presented test images. Standard viewing conditions were used. The data shows which attributes are most relevant for each test context, and how they differentiate between the selected image contents and processing systems. The role of non-HVS based image quality analysis is discussed.
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Göte Nyman, Göte Nyman, Tuomas Leisti, Tuomas Leisti, Paul Lindroos, Paul Lindroos, Jenni Radun, Jenni Radun, Sini Suomi, Sini Suomi, Toni Virtanen, Toni Virtanen, Jean-Luc Olives, Jean-Luc Olives, Joni Oja, Joni Oja, Tero Vuori, Tero Vuori, } "Measuring multivariate subjective image quality for still and video cameras and image processing system components", Proc. SPIE 6808, Image Quality and System Performance V, 68080N (28 January 2008); doi: 10.1117/12.766186; https://doi.org/10.1117/12.766186
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