Digital Image Bandwidth Compression Using Non-Parametric Predictive Filters

G. Eichmann; M. Stojancic; L R. Chen

doi:10.1117/12.962303

30 January 1990 Digital Image Bandwidth Compression Using Non-Parametric Predictive Filters

G. Eichmann, M. Stojancic, L R. Chen

Proceedings Volume 1153, Applications of Digital Image Processing XII; (1990) https://doi.org/10.1117/12.962303
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

Abstract

A new computational technique for digital image bandwidth compression is presented. This technique is based upon the truncation of an observed image. The original image is predicted using a non-parametric approach. This predictor is a random grain allocation (RGA) algorithm, an algorithm that is similar to a Monte Carlo method. Using the RGA algorithm and with an appropriate block partitioning of the original image, significant image bit reduction can be achieved. Several image bandwidth compression examples are presented.

Citation Download Citation

G. Eichmann, M. Stojancic, and L R. Chen "Digital Image Bandwidth Compression Using Non-Parametric Predictive Filters", Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); https://doi.org/10.1117/12.962303

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