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Home / programming language / Online Matlab Projects / Feature Enhancement in Visually Impaired Images
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Feature Enhancement in Visually Impaired Images

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SKU: PROJ8382 Categories: 2018-2019 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Matlab Project, PHP Project, Students Projects
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Feature Enhancement in Visually Impaired Images

Abstract– One of the major open problems in computer vision is feature detection in visually impaired images. In addition, 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.Here mathematically derive the intrinsic nonlinear transfer function and demonstrate how it leads to superior performance at low contrast levels and a reconfigurable operator for hyper dimensional classification and prove that the Phase Stretch Transform equalizes the input image brightness across a range of intensities resulting in high dynamic range in visually impaired images.Also show further improvement in the dynamic range by combining our method with the conventional techniques. Finally, our results propose a new paradigm for the computation of mathematical derivatives via group delay dispersion operations.

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