Search Results for author: Bahram Jalali

Found 10 papers, 3 papers with code

PhyCV: The First Physics-inspired Computer Vision Library

1 code implementation29 Jan 2023 Yiming Zhou, Callen MacPhee, Madhuri Suthar, Bahram Jalali

PhyCV is the first computer vision library which utilizes algorithms directly derived from the equations of physics governing physical phenomena.

VEViD: Vision Enhancement via Virtual diffraction and coherent Detection

no code implementations25 Aug 2022 Callen MacPhee, Bahram Jalali

Specifically, diffraction followed by coherent detection, not in its analog realization but when coded as an algorithm, becomes an image enhancement tool.

Image Enhancement object-detection +1

Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)

1 code implementation8 Feb 2022 Callen MacPhee, Madhuri Suthar, Bahram Jalali

Phase-Stretch Adaptive Gradient-Field Extractor (PAGE) is an edge detection algorithm that is inspired by physics of electromagnetic diffraction and dispersion.

Edge Detection

Nonlinear Schrödinger Kernel for hardware acceleration in machine learning inference

no code implementations15 Dec 2020 Tingyi Zhou, Fabien Scalzo, Bahram Jalali

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

Deep Analog-to-Digital Converter for Wireless Communication

no code implementations11 Sep 2020 Ashkan Samiee, Yiming Zhou, Tingyi Zhou, Bahram Jalali

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

no code implementations11 Sep 2020 Yiming Zhou, Ashkan Samiee, Tingyi Zhou, Bahram Jalali

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.

Reinforcement Learning (RL)

Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry

no code implementations9 Apr 2019 Yueqin Li, Ata Mahjoubfar, Claire Lifan Chen, Kayvan Reza Niazi, Li Pei, Bahram Jalali

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.

General Classification speech-recognition +1

Brain MRI Image Super Resolution using Phase Stretch Transform and Transfer Learning

1 code implementation31 Jul 2018 Sifeng He, Bahram Jalali

A hallucination-free and computationally efficient algorithm for enhancing the resolution of brain MRI images is demonstrated.

Image Super-Resolution Medical Super-Resolution +1

Feature Enhancement in Visually Impaired Images

no code implementations14 Jun 2017 Madhuri Suthar, Mohammad Asghari, Bahram Jalali

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.

Edge Detection

Time Stretch Inspired Computational Imaging

no code implementations7 Jun 2017 Bahram Jalali, Madhuri Suthar, Mohamad Asghari, Ata Mahjoubfar

We show that dispersive propagation of light followed by phase detection has properties that can be exploited for extracting features from the waveforms.

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