Zobrazeno 1 - 10
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pro vyhledávání: '"Chimitt, Nicholas"'
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
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
Autor:
Liu, Feng, Ashbaugh, Ryan, Chimitt, Nicholas, Hassan, Najmul, Hassani, Ali, Jaiswal, Ajay, Kim, Minchul, Mao, Zhiyuan, Perry, Christopher, Ren, Zhiyuan, Su, Yiyang, Varghaei, Pegah, Wang, Kai, Zhang, Xingguang, Chan, Stanley, Ross, Arun, Shi, Humphrey, Wang, Zhangyang, Jain, Anil, Liu, Xiaoming
Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance. This paper presents the end-to-end design, development and evaluation of FarSight, an innovative sof
Externí odkaz:
http://arxiv.org/abs/2306.17206
Autor:
Chimitt, Nicholas, Chan, Stanley H.
For the simulation of anisoplanatic optical turbulence, split-step propagation is the gold standard. Within the context of the degradations being limited to phase distortions, one instead may focus on generating the phase realizations directly, a met
Externí odkaz:
http://arxiv.org/abs/2305.09036
A spatially varying blur kernel $h(\mathbf{x},\mathbf{u})$ is specified by an input coordinate $\mathbf{u} \in \mathbb{R}^2$ and an output coordinate $\mathbf{x} \in \mathbb{R}^2$. For computational efficiency, we sometimes write $h(\mathbf{x},\mathb
Externí odkaz:
http://arxiv.org/abs/2303.05687
Numerical simulation of atmospheric turbulence is one of the biggest bottlenecks in developing computational techniques for solving the inverse problem in long-range imaging. The classical split-step method is based upon numerical wave propagation wh
Externí odkaz:
http://arxiv.org/abs/2210.06713
Restoring images distorted by atmospheric turbulence is a ubiquitous problem in long-range imaging applications. While existing deep-learning-based methods have demonstrated promising results in specific testing conditions, they suffer from three lim
Externí odkaz:
http://arxiv.org/abs/2207.06465
Fast and accurate simulation of imaging through atmospheric turbulence is essential for developing turbulence mitigation algorithms. Recognizing the limitations of previous approaches, we introduce a new concept known as the phase-to-space (P2S) tran
Externí odkaz:
http://arxiv.org/abs/2107.11627
Ground based long-range passive imaging systems often suffer from degraded image quality due to a turbulent atmosphere. While methods exist for removing such turbulent distortions, many are limited to static sequences which cannot be extended to dyna
Externí odkaz:
http://arxiv.org/abs/2009.00071
Autor:
Chimitt, Nicholas, Chan, Stanley H.
Simulating atmospheric turbulence is an essential task for evaluating turbulence mitigation algorithms and training learning-based methods. Advanced numerical simulators for atmospheric turbulence are available, but they require evaluating wave propa
Externí odkaz:
http://arxiv.org/abs/2004.11210