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16 June 1995 Universal interactive image data acquisition and compression technology (UNIDAC) and its dual-use applications
Dmitry A. Novik, John E. Addis II, Lea V. Sims
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Proceedings Volume 2488, Visual Information Processing IV; (1995) https://doi.org/10.1117/12.211976
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States
Abstract
The limited channel capacity associated with telecommunication and data network necessitates applications of image data compression for teleimaging systems. The UNIDAC technology is based on the optical consolidation of lossy and lossless compressions controlled interactively by a remote image analyst. The UNIDAC technology incorporates the positive features of separate lossy (a high data compression ratio) and lossless (errorless image quality) image data compressions without their associated weaknesses. The high value of that data compression ratio achieved by the UNIDAC technology is based on the elimination of a positional statistical redundancy additionally to a spatial statistical redundancy, and on the sequential nature of the visual analysis. A positional statistical redundancy reflects the fact that the data essential for image analysis is enclosed not in the whole image, but rather in parts of it--i.e. the window (area) of interest. In the professional knowledge to locate the areas of interest within the lossy compressed image. Selected positional information for the window of interest is transmitted back to the image source. The lossless compressed/decompressed residual image data is then used to update the image in the window of interest to its original lossless, errorless image quality. The potential capabilities of the UNIDAC technology are illustrated by its application for such teleimaging systems as teleradiology, telepathology, telesurveillance, and telereconnaissance.
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Dmitry A. Novik, John E. Addis II, and Lea V. Sims "Universal interactive image data acquisition and compression technology (UNIDAC) and its dual-use applications", Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); https://doi.org/10.1117/12.211976
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KEYWORDS
Image compression
Image analysis
Image quality
Image transmission
Visual analytics
Visualization
Data compression
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