Imaging science is a relatively new discipline that combines computer-based imaging techniques with a variety of data acquisition tools to increase the range of properties that scientists can observe. The generic issues of imaging science include image-data acquisition; image reconstruction and processing; image recording and distribution; image display, analysis, and evaluation; human vision; and the mental processes involved in observation.
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Carlson Center for Imaging Science
Provides overview of imaging and color sciences, research topics, training from short distance learning to postgraduate degrees and resources. At the Rochester Institute of Technology, NY.
Explains how the confocal microscope improves getting better focused images than fluorescent light viewing devices. Includes sample photos and a list of applications for this technique.
Gamma cameras for nuclear medicine imaging and solid state nuclear medicine technology by Digirad.
Image Processing Basics
Features applets and tutorials covering resolutions, aliasing, transforms, histogram equalization, and graylevel mapping.
Download and documentation for public domain image processing and analysis program developed for the Macintosh, by the National Institute of Mental Health at Bethesda, MD.
Poynton's Gamma and Color FAQs
Questions and articles on various image and color coding techniques and issues.
Retinex Image Processing
Provides description and examples for the new non-linear image enhancement technique called the Multi-scale retinex.
SIAM Activity Group on Imaging Science
Offers discussion with scientists and engineers of mathematical and computational aspects of imaging, through the Society for Industrial and Applied Mathematics, based in Philadelphia, PA.
Soft Imaging System
Image analysis software and hardware for machine vision, image processing, medical imaging, biometric and metallographical applications.
Video Imaging Borescope
Videoborescope for inspection of turbines, building forensic investigations and utilities.
Rigorously extends information theory to the optimization of end-to-end imaging systems to provide the best possible pictures for the least data.
Last update:June 4, 2016 at 21:54:05 UTC