Paper
30 July 2002 Statistics of visual representation
Author Affiliations +
Abstract
The experience of retinex image processing has prompted us to reconsider fundamental aspects of imaging and image processing. Foremost is the idea that a good visual representation requires a non-linear transformation of the recorded (approximately linear) image data. Further, this transformation appears to converge on a specific distribution. Here we investigate the connection between numerical and visual phenomena. Specifically the questions explored are: (1) Is there a well-defined consistent statistical character associated with good visual representations? (2) Does there exist an ideal visual image? And (3) what are its statistical properties?
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel J. Jobson, Zia-ur Rahman, and Glenn A. Woodell "Statistics of visual representation", Proc. SPIE 4736, Visual Information Processing XI, (30 July 2002); https://doi.org/10.1117/12.477589
Lens.org Logo
CITATIONS
Cited by 81 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Visualization

Image processing

Image visualization

Digital imaging

Image enhancement

Optimization (mathematics)

Image compression

RELATED CONTENT

Image quality metrics applied to digital pathology
Proceedings of SPIE (April 29 2016)
Content-based image classification
Proceedings of SPIE (December 20 1999)
Enhancement of transform coding by nonlinear interpolation
Proceedings of SPIE (November 01 1991)

Back to Top