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We present a new Matlab toolbox for generating phase and amplitude patterns for digital micro-mirror device (DMD) and liquid crystal (LC) based spatial light modulators (SLMs). This toolbox consists of a collection of algorithms commonly…

Instrumentation and Detectors · Physics 2020-02-26 Isaac C D Lenton , Alexander B Stilgoe , Timo A Nieminen , Halina Rubinsztein-Dunlop

Real camera footage is subject to noise, motion blur (MB) and depth of field (DoF). In some applications these might be considered distortions to be removed, but in others it is important to model them because it would be ineffective, or…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Siddhant Prakash , David R. Walton , Rafael K. dos Anjos , Anthony Steed , Tobias Ritschel

Learning-based methods have made promising advances in low-light RAW image enhancement, while their capability to extremely dark scenes where the environmental illuminance drops as low as 0.0001 lux remains to be explored due to the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Hai Jiang , Binhao Guan , Zhen Liu , Xiaohong Liu , Jian Yu , Zheng Liu , Songchen Han , Shuaicheng Liu

Dynamic control of light, and in particular beam steering, is pivotal in various optical applications, including telecommunications, LiDAR, and biomedical imaging. Traditional approaches achieve this by interfacing a tunable modulating…

In this work we develop a fast saliency detection method that can be applied to any differentiable image classifier. We train a masking model to manipulate the scores of the classifier by masking salient parts of the input image. Our model…

Machine Learning · Statistics 2017-05-23 Piotr Dabkowski , Yarin Gal

Though deep learning techniques have made great progress in salient object detection recently, the predicted saliency maps still suffer from incomplete predictions due to the internal complexity of objects and inaccurate boundaries caused…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Runmin Wu , Mengyang Feng , Wenlong Guan , Dong Wang , Huchuan Lu , Errui Ding

The accuracy of the information that can be extracted from electron diffraction patterns is often limited by the presence of optical distortions. Existing distortion characterization techniques typically require knowledge of the reciprocal…

This paper presents a framework for developing a live vision-correcting display (VCD) to address refractive visual aberrations without the need for traditional vision correction devices like glasses or contact lenses, particularly in…

Image and Video Processing · Electrical Eng. & Systems 2025-01-06 Akhilesh Balaji , Dhruv Ramu

Understanding and mitigating flicker effects caused by rapid variations in light intensity is critical for enhancing the performance of event cameras in diverse environments. This paper introduces an innovative autonomous mechanism for…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Mehdi Sefidgar Dilmaghani , Waseem Shariff , Cian Ryan , Joe Lemley , Peter Corcoran

Reflecting light to a pre-determined non-specular direction is an important ability of metasurfaces, which is the basis for a wide range of applications (e.g., beam steering/splitting and imaging). However, anomalous reflection with 100%…

Optics · Physics 2021-11-16 Tao He , Tong Liu , Shiyi Xiao , Zeyong Wei , Zhanshan Wang , Lei Zhou , Xinbin Cheng

Active mode mismatch sensing and control can facilitate optimal coupling in optical cavity experiments such as interferometric gravitational wave detectors. In this paper, we demonstrate a radio-frequency (RF) beam wavefront curvature…

Optics · Physics 2025-02-20 Liu Tao , Mauricio Diaz-Ortiz , Paul Fulda

The recovery of high-quality images from images corrupted by lens flare presents a significant challenge in low-level vision. Contemporary deep learning methods frequently entail training a lens flare removing model from scratch. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Tianwen Zhou , Qihao Duan , Zitong Yu

We present a simple technique to produce active Q-switching in various types of fiber amplifiers by active integration of an electrostatic actuated deformable metallic micro-mirror. The optical MEMS (MOEMS) device acts as one of the laser…

Other Computer Science · Computer Science 2007-11-29 D. Bouyge , D. Sabourdy , A. Crunteanu , P. Blondy , V. Couderc , J. Lhermite , L. Grossard , A. Barthélemy

Local strain engineering is an exciting approach to tune the optoelectronic properties of materials. Two dimensional (2D) materials such as 2D transition metal dichalcogenides (TMDs) are particularly well suited for this purpose because…

Optics · Physics 2020-02-11 Ahmed Raza Khan , Teng Lu , Wendi Ma , Yuerui Lu , Yun Liu

We propose a new technique to fabricate flexible-near-field Argument-Reality (AR) display using modular-molds. A near-eye flexible-AR-display is fabricated based on parameters extracted from simulations. Our AR-display successfully…

In recent years, significant progress has been made in image recognition technology based on deep neural networks. However, improving recognition performance under low-light conditions remains a significant challenge. This study addresses…

Computer Vision and Pattern Recognition · Computer Science 2025-01-09 Seitaro Ono , Yuka Ogino , Takahiro Toizumi , Atsushi Ito , Masato Tsukada

Spontaneous processes triggered in a sample by free electrons are commonly regarded as incoherent, and therefore unable to interfere with external light sources. Here, we challenge this concept by showing through first-principles theory…

Nonlinear metasurfaces are multifunctional photonic elements that generate and control light, enabling multiple proof-of-principle applications, such as in nonlinear holography, beam shaping, and nanoscale sources of entangled photon pairs.…

Electro-optic silicon-based modulators contribute to ease the integration of high-speed and low-power consumption circuits for classical optical communications or quantum computers. However, the inversion symmetry in the silicon crystal…

Atmospheric turbulence degrades image quality by introducing blur and geometric tilt distortions, posing significant challenges to downstream computer vision tasks. Existing single-image and multi-frame methods struggle with the highly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Yixing Liu , Minggui Teng , Yifei Xia , Peiqi Duan , Boxin Shi
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