User validation of image quality assessment algorithms

Even with modern graphics hardware, it is still not possible to achieve high fidelity renderings of complex scenes in real time. However, as these images are produced for human observers we exploit the fact that the human eye is good, but not that good. In particular, it is possible to render parts...

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Bibliographic Details
Main Authors: Longhurst, P., Chalmers, A.
Format: Conference Proceeding
Language:English
Subjects:
Computer graphics
Computer vision
Frequency
Humans
Image quality
Image storage
Layout
Psychology
Rendering (computer graphics)
Visual system
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Summary:Even with modern graphics hardware, it is still not possible to achieve high fidelity renderings of complex scenes in real time. However, as these images are produced for human observers we exploit the fact that the human eye is good, but not that good. In particular, it is possible to render parts of an image at high quality and the rest of the scene at lower quality without the user being aware of this difference. Image quality assessment algorithms, such as the Daly model, provide a measure of the perceptual quality difference between image pairs. This paper presents a psychophysical evaluation of an image quality metric and investigates how such models can be developed to rapidly determine the parts of the scene with the most noticeable perceptual difference
DOI:10.1109/TPCG.2004.1314471