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Enhancing images with Intensity-Dependent Spread functionsThe theory of Intensity-Dependent Spread functions (IDS), a model of the human visual system proposed by Cornsweet (1985), is applied to image enhancement. An artificial image is examined which illustrates the characteristics of IDS processing and shows how the theoretical results translate into visual effects. Examples of realistic scenes that have been enhanced by IDS are presented. The system is shown to be particularly useful for bringing out detail in regions of low-contrast images. IDS can be readily implemented on a parallel computer.
Document ID
19930049443
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Reese, Greg
(Sverdrup Technology, Inc.; NASA, Stennis Space Center Bay Saint Louis, MS, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: Human vision, visual processing, and digital display III; Proceedings of the Meeting, San Jose, CA, Feb. 10-13, 1992 (A93-33438 12-63)
Publisher: Society of Photo-Optical Instrumentation Engineers
Subject Category
Cybernetics
Accession Number
93A33440
Distribution Limits
Public
Copyright
Other

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