Search Results for author: Abhiram Gnanasambandam

Found 10 papers, 2 papers with code

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

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.

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

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 +1

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 +1

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

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.

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

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