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2 November 2004 Efficient computing architectures for processing digital image data
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Recursive partitioned architectures in the spatial domain and block-based discrete transform domain algorithms are developed to retrieve information from digital image data. In the former case, the data is represented in forms which facilitate efficient optimization of the objective criterion. In the latter case, discrete, real, and circular Fourier transforms of the data blocks are filtered by coefficients chosen in the discrete frequency domain. This has led to improvements in the feature detection and localization process. In this paper, recursive and iterative approaches are applied to achieve the restoration of digital images from linearly degraded samples. In addition, block-based algorithms are employed to segment images.
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Ramakrishnan Sundaram "Efficient computing architectures for processing digital image data", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004);

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