Paper
1 August 1991 Transparency and blur as selective cues for complex visual information
Grace Colby, Laura Scholl
Author Affiliations +
Proceedings Volume 1460, Image Handling and Reproduction Systems Integration; (1991) https://doi.org/10.1117/12.44415
Event: Electronic Imaging '91, 1991, San Jose, CA, United States
Abstract
Image processing techniques are applied that enable the viewer to control both the gradients of focus and transparency within an image. In order to demonstrate this concept, the authors use a geographical map whose features are organized as layers of information. This allows a user to select layers related to a particular area of interest. For example, someone interested in air transportation may choose to view airports, airport labels, and airspace in full focus. Relevant layers such as the roads and waterways are also visible but appear somewhat blurry and transparent. The user's attention is drawn to information that is clearly in focus and opaque; blurry transparent features are perceived to be in the background. Focus and transparency produce effective perceptual cues because of the human eye's ability to perceive contrast and depth. The control of focus and transparency are made accessible through a graphic interface based on a scale of importance. Rather than specifying individual focus and transparency settings, the user specifies the importance of the individual feature layers according to his needs for the task at hand. The importance settings are then translated into an appropriate combination of transparency and focus gradients for the layers within the image.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grace Colby and Laura Scholl "Transparency and blur as selective cues for complex visual information", Proc. SPIE 1460, Image Handling and Reproduction Systems Integration, (1 August 1991); https://doi.org/10.1117/12.44415
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CITATIONS
Cited by 42 scholarly publications and 1 patent.
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KEYWORDS
Transparency

Visualization

Information visualization

Image processing

Earth observing sensors

System integration

Landsat

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