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Proceedings Paper

Two-dimensional convolute integer operators for digital image processing
Author(s): Thomas R. Edwards
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Paper Abstract

This paper presents applications of Two Dimensional Convolute Integer Operators. These Operators are frequency sensitive, feature selecting, classical replacement point and interstitial point convolvers. Interstitial point generation permits enhanced high frequency digital magnification. These Operators are mathematically equivalent to two dimensional partial derivatives. Images varying from a frequency response test pattern to GOES data display roll-off from four different noise Operators. High and low frequency gradients, resolution enhancements, three dimensional effects, Laplacians, divergence, first and second order two dimensional partial derivatives and enhanced high frequency digital magnification are shown. Two Dimensional Convolute Integer Technology generates image processing Operators for high speed two dimensional frequency sensitive, feature enhancing, theoretically correct convolutions, interstitial point generation and spurious value replacement. These Operators are a correct approach towards curl, divergence, Laplacian, gradients and high frequency digital magnification. Enhanced high frequency digital magnification doubles the number of lines per image and the number of picture elements per line, without stairstepping diagonals or curves and blotches of blocky gray level areas associated with magnification by pixel replication. Due to the theoretical symmetry properties, multiplications per convolution are reduced by approximately 75%, so they are well suited for video rate hardware convolutions.

Paper Details

Date Published: 1 June 1990
PDF: 19 pages
Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); doi: 10.1117/12.34709
Show Author Affiliations
Thomas R. Edwards, TREC, Inc. (United States)


Published in SPIE Proceedings Vol. 1244:
Image Processing Algorithms and Techniques
Robert J. Moorhead; Keith S. Pennington, Editor(s)

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