Paper
21 December 2000 Influence of spatial luminance interactions on perceived brightness
Author Affiliations +
Proceedings Volume 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI; (2000) https://doi.org/10.1117/12.410789
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
Most color appearance models that have been published so far require a simplified description of the viewing field which is subdivided into a small number of homogeneous regions. The tristimulus values and luminance levels of these regions serve as input parameters for the models. The purpose of this paper however is to study brightness perception in a complex, achromatic surround using a more detailed description of the entire viewing field. Therefore, a number of psycho physical experiments were carried out using a CRT display on which relatively complex images were presented. Several observers were asked to judge the perceived brightness by adjusting the luminance level of a reference grey for a perfect brightness match. All thereby obtained psycho physical data were used to develop a new brightness appearance model that takes all objects in the entire visual field into account. The model includes an object feature extraction stage, in which object properties like area and position are extracted, a stage in which the characteristic object data are sorted into the appropriate classes of a histogram and a multivariate map in the form of a feedforward neural network to calculate the prediction of the perceived brightness.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ulrich Eisemann "Influence of spatial luminance interactions on perceived brightness", Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); https://doi.org/10.1117/12.410789
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling

Neural networks

Feature extraction

Visual process modeling

RGB color model

Visualization

CRTs

RELATED CONTENT

Prediction of visual saliency in video with deep CNNs
Proceedings of SPIE (September 28 2016)
2+2=5: painting by numbers
Proceedings of SPIE (January 16 2006)

Back to Top