Discrete filters and transforms for digital image data analysis
Ramakrishnan Sundaram · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
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.