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Proceedings Paper

Discrete filters and transforms for digital image data analysis
Author(s): R. Sundaram
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Paper Abstract

Block-based discrete transform domain algorithms are developed to retrieve information from digital image data. Specifically, discrete, real, and circular Fourier transforms of the data blocks are filtered by coefficients chosen in the discrete frequency domain to improve feature detection. In this paper, the proposed approach is applied to improve the identification of edge discontinuities in digital image data.

Paper Details

Date Published: 24 August 2006
PDF: 11 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631206 (24 August 2006); doi: 10.1117/12.678500
Show Author Affiliations
R. Sundaram, Gannon Univ. (United States)

Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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