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26 June 1996 Morphological paradigm for loss-function-based design of digital filters
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Abstract
Statistically based automatic design of nonlinear image processing algorithms has been used successfully for binary image enhancement, specifically in restoration and resolution conversion of documents. The present paper introduces an extension of the methodology in two directions. First, it proposes to use the representation- optimization paradigm for general algorithm development in the context of system transformations. Second, it employs a statistical loss function to generalize the mean-absolute- error approach taken in previous work.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward R. Dougherty and Junior Barrera "Morphological paradigm for loss-function-based design of digital filters", Proc. SPIE 2753, Visual Information Processing V, (26 June 1996); https://doi.org/10.1117/12.243577
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