Search Results for author: Abhiram Gnanasambandam

Found 11 papers, 2 papers with code

Megapixel Photon-Counting Color Imaging using Quanta Image Sensor

no code implementations21 Mar 2019 Abhiram Gnanasambandam, Omar Elgendy, Jiaju Ma, and Stanley H. Chan

Quanta Image Sensor (QIS) is a single-photon detector designed for extremely low light imaging conditions.

Demosaicking Denoising +1

HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction

no code implementations6 Nov 2020 Abhiram Gnanasambandam, Stanley H. Chan

We provide a complete theoretical characterization of the sensor in the context of HDR imaging, by proving the fundamental limits in the dynamic range that QIS can offer and the trade-offs with noise and speed.

Optical Adversarial Attack

no code implementations13 Aug 2021 Abhiram Gnanasambandam, Alex M. Sherman, Stanley H. Chan

The system consists of a low-cost projector, a camera, and a computer.

Adversarial Attack

Photon-Limited Deblurring using Algorithm Unrolling

no code implementations NeurIPS Workshop Deep_Invers 2021 Yash Sanghvi, Abhiram Gnanasambandam, Stanley Chan

Image deblurring in a photon-limited condition is ubiquitous in a variety of low-light applications such as photography, microscopy and astronomy.

Astronomy Deblurring +2

Photon Limited Non-Blind Deblurring Using Algorithm Unrolling

1 code implementation28 Oct 2021 Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

Image deblurring in photon-limited conditions is ubiquitous in a variety of low-light applications such as photography, microscopy, and astronomy.

Astronomy Deblurring +2

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement

no code implementations9 Nov 2021 Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

Specifically, we model depth formation as a combined process of signal-dependent noise addition and non-uniform log-based quantization.

Graph Learning Image Denoising +1

Exposure-Referred Signal-to-Noise Ratio for Digital Image Sensors

no code implementations10 Dec 2021 Abhiram Gnanasambandam, Stanley H. Chan

New theoretical results are derived for image sensors of any bit-depth and full-well capacity.

Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel Estimation

1 code implementation31 Jul 2022 Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao, Stanley H. Chan

When the noise is strong, these networks fail to simultaneously deblur and denoise; (3) While iterative schemes are known to be robust in the classical frameworks, they are seldom considered in deep neural networks because it requires a differentiable non-blind solver.

Image Restoration

The Secrets of Non-Blind Poisson Deconvolution

no code implementations6 Sep 2023 Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan

Non-blind image deconvolution has been studied for several decades but most of the existing work focuses on blur instead of noise.

Image Deconvolution

Cannot find the paper you are looking for? You can Submit a new open access paper.