ArticleIEEE access : practical innovations, open solutions2018
Feature Enhancement in Visually Impaired Images.
Article in IEEE access : practical innovations, open solutions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Innovative segmentation technique for aerial power lines via amplitude stretching transform.Scientific reports · 2025Article
- Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation.Sensors (Basel, Switzerland) · 2024Article
- An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation.Computational intelligence and neuroscience · 2021Article
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Authors and funding
3 authors.
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Abstract
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. We 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. We 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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Registered trials
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