Measuring multivariate subjective image quality for still and video cameras and image processing system components

Göte Nyman; Tuomas Leisti; Paul Lindroos; Jenni Radun; Sini Suomi; Toni Virtanen; Jean-Luc Olives; Joni Oja; Tero Vuori

doi:10.1117/12.766186

28 January 2008 Measuring multivariate subjective image quality for still and video cameras and image processing system components

Göte Nyman, Tuomas Leisti, Paul Lindroos, Jenni Radun, Sini Suomi, Toni Virtanen, Jean-Luc Olives, Joni Oja, Tero Vuori

Author Affiliations +

Proceedings Volume 6808, Image Quality and System Performance V; 68080N (2008) https://doi.org/10.1117/12.766186
Event: Electronic Imaging, 2008, San Jose, California, United States

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, Tuomas Leisti, Paul Lindroos, Jenni Radun, Sini Suomi, Toni Virtanen, Jean-Luc Olives, Joni Oja, and 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); https://doi.org/10.1117/12.766186

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