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pro vyhledávání: '"Chan, Stanley"'
Autor:
Chimitt, Nicholas, Chan, Stanley H.
Since the seminal work of Andrey Kolmogorov in the early 1940's, imaging through atmospheric turbulence has grown from a pure scientific pursuit to an important subject across a multitude of civilian, space-mission, and national security applications
Externí odkaz:
http://arxiv.org/abs/2411.00338
Autor:
Chennuri, Prateek, Chi, Yiheng, Jiang, Enze, Godaliyadda, G. M. Dilshan, Gnanasambandam, Abhiram, Sheikh, Hamid R., Gyongy, Istvan, Chan, Stanley H.
Publikováno v:
European Conference on Computer Vision (ECCV) 2024
The proliferation of single-photon image sensors has opened the door to a plethora of high-speed and low-light imaging applications. However, data collected by these sensors are often 1-bit or few-bit, and corrupted by noise and strong motion. Conven
Externí odkaz:
http://arxiv.org/abs/2410.14994
Depth estimation using a single-photon LiDAR is often solved by a matched filter. It is, however, error-prone in the presence of background noise. A commonly used technique to reject background noise is the rank-ordered mean (ROM) filter previously r
Externí odkaz:
http://arxiv.org/abs/2407.20399
In single-photon light detection and ranging (SP-LiDAR) systems, the histogram distortion due to hardware dead time fundamentally limits the precision of depth estimation. To compensate for the dead time effects, the photon registration distribution
Externí odkaz:
http://arxiv.org/abs/2407.02712
The astonishing development of single-photon cameras has created an unprecedented opportunity for scientific and industrial imaging. However, the high data throughput generated by these 1-bit sensors creates a significant bottleneck for low-power app
Externí odkaz:
http://arxiv.org/abs/2403.19066
Autor:
Chan, Stanley H.
The astonishing growth of generative tools in recent years has empowered many exciting applications in text-to-image generation and text-to-video generation. The underlying principle behind these generative tools is the concept of diffusion, a partic
Externí odkaz:
http://arxiv.org/abs/2403.18103
Autor:
Chan, Stanley H., Weerasooriya, Hashan K., Zhang, Weijian, Abshire, Pamela, Gyongy, Istvan, Henderson, Robert K.
Single-photon Light Detection and Ranging (LiDAR) systems are often equipped with an array of detectors for improved spatial resolution and sensing speed. However, given a fixed amount of flux produced by the laser transmitter across the scene, the p
Externí odkaz:
http://arxiv.org/abs/2403.17719
Autor:
Hendrickson, Aaron J., Haefner, David P., Chan, Stanley H., Shade, Nicholas R., Fossum, Eric R.
Working from a Poisson-Gaussian noise model, a multi-sample extension of the Photon Counting Histogram Expectation Maximization (PCH-EM) algorithm is derived as a general-purpose alternative to the Photon Transfer (PT) method. This algorithm is deriv
Externí odkaz:
http://arxiv.org/abs/2403.04498
Recovering images distorted by atmospheric turbulence is a challenging inverse problem due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) algorithms have been proposed, their efficiency and generalization to real
Externí odkaz:
http://arxiv.org/abs/2401.04244
Blind deconvolution problems are severely ill-posed because neither the underlying signal nor the forward operator are not known exactly. Conventionally, these problems are solved by alternating between estimation of the image and kernel while keepin
Externí odkaz:
http://arxiv.org/abs/2312.02319