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Open Access Publications from the University of California

Linear Filtering of Images Based on Properties of Vision


The design of linear image filters based on properties of human visual perception has been shown to require the minimization of criterion functions in both the spatial and frequency domains. In this correspondence, we extend this approach to continuous filters of infinite support. For low pass filters, this leads to the concept of an ideal low pass image filter which provides a response that is superior perceptually to that of the classical ideal low pass filter.

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