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Found 10 papers, 4 papers with code
Time Stretch Inspired Computational Imaging
We show that dispersive propagation of light followed by phase detection has properties that can be exploited for extracting features from the waveforms.
Feature Enhancement in Visually Impaired Images
We prove that the Phase Stretch Transform equalizes the input image brightness across the range of intensities resulting in a high dynamic range in visually impaired images.
Brain MRI Image Super Resolution using Phase Stretch Transform and Transfer Learning
A hallucination-free and computationally efficient algorithm for enhancing the resolution of brain MRI images is demonstrated.
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry
Previously we had shown that high-throughput label-free cell classification with high accuracy can be achieved through a combination of time-stretch microscopy, image processing and feature extraction, followed by deep learning for finding cancer cells in the blood.
Deep Analog-to-Digital Converter for Wireless Communication
We demonstrate this "Deep ADC" technique on an 8G Sample/s 8-channel time-interleaved ADC with the QAM-OFDM modulated data.
Deep Learning Interference Cancellation in Wireless Networks
In this paper, we propose a Neural Network (NN) based signal processing technique that works with traditional DSP algorithms to overcome the interference problem in realtime.
Nonlinear Schrödinger Kernel for hardware acceleration in machine learning inference
Alternative machine learning approaches that are computationally light with low latency and can work with only a small training dataset are needed for applications where the insatiable demand of deep learning methods for computing power and large training data cannot be met.
Optics Signal Processing
Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)
Phase-Stretch Adaptive Gradient-Field Extractor (PAGE) is an edge detection algorithm that is inspired by physics of electromagnetic diffraction and dispersion.
VEViD: Vision Enhancement via Virtual diffraction and coherent Detection
Specifically, diffraction followed by coherent detection, not in its analog realization but when coded as an algorithm, becomes an image enhancement tool.
PhyCV: The First Physics-inspired Computer Vision Library
PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena.
