28 January 2008 Measuring multivariate subjective image quality for still and video cameras and image processing system components
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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


Very low rate video processing
Proceedings of SPIE (December 27 2000)
Analysis of degradation of video images
Proceedings of SPIE (September 01 1995)

Back to Top