Discrete filters and transforms for digital image data analysis

R. Sundaram

doi:10.1117/12.678500

24 August 2006 Discrete filters and transforms for digital image data analysis

R. Sundaram

Proceedings Volume 6312, Applications of Digital Image Processing XXIX; 631206 (2006) https://doi.org/10.1117/12.678500
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

R. Sundaram "Discrete filters and transforms for digital image data analysis", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631206 (24 August 2006); https://doi.org/10.1117/12.678500

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