Paper
16 April 1997 Perceptual linearization as display standard: link between psychophysics and contrast discrimination models
Najoua Belaid, Ineke M. C. J. van Overveld, Jean-Bernard Martens
Author Affiliations +
Abstract
Given the increasing use of soft-copy in the medical field, standardization and fidelity of the display are gaining much interest. For medical imaging, it is of great importance that information in the data is accurately mapped to brightness sensation. The concept of perceptual linearization was introduced by Pizer [Computer Graphics and Image Processing, 17, 262 (1981)] to guarantee the display fidelity. It means that equal steps in the data evoke equal steps in sensation. We investigate the fidelity of achromatic displays prior to and after perceptual linearization. First, we use magnitude estimation of brightness differences between gray square patches embedded in a uniform background, to make equal-interval brightness series. Then, we extend the brightness contrast discrimination models of Whittle [Vision Research, 26, 1677 (1986)], and Kingdom and Moulden [Vision Research, 31, 851 (1991)], for gray patches in uniform background, to our supra-threshold data. A good fit is found. Finally, we apply the look-up tables that provide perceptual linearization for the gray patches to complex images. Brightness matching with a scale of reference gray patches is used to estimate gray levels at specified image locations. The experimental results indicate that the accuracy of this task is not necessarily affected by perceptual linearization.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Najoua Belaid, Ineke M. C. J. van Overveld, and Jean-Bernard Martens "Perceptual linearization as display standard: link between psychophysics and contrast discrimination models", Proc. SPIE 3036, Medical Imaging 1997: Image Perception, (16 April 1997); https://doi.org/10.1117/12.271285
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KEYWORDS
Data modeling

Image processing

Visualization

Diamond

Visual process modeling

Data processing

Displays

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