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Proceedings Paper

Optical Implementation Of A Spatially Adaptive Image Data Compression System
Author(s): B. R. Hunt; Sergio D. Cabrera
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Paper Abstract

The increasing complexity and variety of image sensors has been the source of interest in the development of data compression for images. Image data has become one of the most active topics of research in digital image processing as a result [1]. The continued evolution of digital circuitry has caused the focus of data compression research to lie in digital implementations. However, there is also a potential for optical computations in image data compression, as was demonstrated in the concepts of interpolated DPCM [2]. The method of DPCM data compression is one of the most thoroughly studied techniques. DPCM achieves data compression by separating the image information into two parts: the low-spatial frequencies and the high-spatial frequencies. Low-spatial frequencies are re-tained by exploiting their predictability; high-spatial frequencies are retained at fewer significant bits, and substantial data compression is achieved. Interpolated DPCM is a mechanism for separating an image into low- and high- spatial frequency components, with a similar amount of data compression being achieved. The computations to achieve the sep-aration can be implemented by simple incoherent optical devices [2].

Paper Details

Date Published: 22 August 1980
PDF: 6 pages
Proc. SPIE 0232, 1980 Intl Optical Computing Conf II, (22 August 1980); doi: 10.1117/12.958892
Show Author Affiliations
B. R. Hunt, University of Arizona (United States)
Sergio D. Cabrera, University of Arizona (United States)


Published in SPIE Proceedings Vol. 0232:
1980 Intl Optical Computing Conf II
William T. Rhodes, Editor(s)

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