Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)

TL;DR

PAGE is a physics-inspired edge detection algorithm that effectively identifies edges and textures in low light and low contrast images, supporting object recognition tasks.

Contribution

It introduces a novel physics-based approach for edge detection that enhances performance in challenging imaging conditions.

Findings

Performs well in low light and low contrast scenarios

Accurately identifies edges, orientations, and sharpness

Supports object classification with embedded feature maps

Abstract

Phase-Stretch Adaptive Gradient-Field Extractor (PAGE) is an edge detection algorithm that is inspired by physics of electromagnetic diffraction and dispersion. A computational imaging algorithm, it identifies edges, their orientations and sharpness in a digital image where the image brightness changes abruptly. Edge detection is a basic operation performed by the eye and is crucial to visual perception. PAGE embeds an original image into a set of feature maps that can be used for object representation and classification. The algorithm performs exceptionally well as an edge and texture extractor in low light level and low contrast images. This manuscript is prepared to support the open-source code which is being simultaneously made available within the GitHub repository https://github.com/JalaliLabUCLA/Phase-Stretch-Adaptive-Gradient-field-Extractor/.