Optical Implementation Of A Spatially Adaptive Image Data Compression System

B. R. Hunt; Sergio D. Cabrera

doi:10.1117/12.958892

22 August 1980 Optical Implementation Of A Spatially Adaptive Image Data Compression System

B. R. Hunt, Sergio D. Cabrera

Proceedings Volume 0232, 1980 Intl Optical Computing Conf II; (1980) https://doi.org/10.1117/12.958892
Event: 1980 Technical Symposium East, 1980, Washington, D.C., United States

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].

Citation Download Citation

B. R. Hunt and Sergio D. Cabrera "Optical Implementation Of A Spatially Adaptive Image Data Compression System", Proc. SPIE 0232, 1980 Intl Optical Computing Conf II, (22 August 1980); https://doi.org/10.1117/12.958892

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