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Feature Enhancement in Visually Impaired Images.

IEEE Access

December 2017

Department of Electrical and Computer Engineering, the Department of Bioengineering, and the Department of Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095 USA. He is also with the California NanoSystems Institute, Los Angeles, CA 90095 USA.

One of the major open problems in computer vision is feature detection in visually impaired images. In this paper, we describe a potential solution using Phase Stretch Transform, a new computational approach for image analysis, edge detection and resolution enhancement that is inspired by the physics of the photonic time stretch technique. We mathematically derive the intrinsic nonlinear transfer function and demonstrate how it leads to (1) superior performance at low contrast levels and (2) a reconfigurable operator for hyper-dimensional classification.

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