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We demonstrate an approach that allows taking videos at very high-speeds of over 100,000 frames per second (fps) by exploiting the fast sampling rate of the standard rolling-shutter readout mechanism, common to most conventional sensors,…

Image and Video Processing · Electrical Eng. & Systems 2020-10-28 Gil Weinberg , Ori Katz

Compressive video capture encodes a short high-speed video into a single measurement using a low-speed sensor, then computationally reconstructs the original video. Prior implementations rely on expensive hardware and are restricted to…

Image and Video Processing · Electrical Eng. & Systems 2025-09-23 Kevin Tandi , Xiang Dai , Chinmay Talegaonkar , Gal Mishne , Nick Antipa

Spatial multiplexing cameras (SMCs) acquire a (typically static) scene through a series of coded projections using a spatial light modulator (e.g., a digital micro-mirror device) and a few optical sensors. This approach finds use in imaging…

Computer Vision and Pattern Recognition · Computer Science 2015-08-06 Aswin C. Sankaranarayanan , Lina Xu , Christoph Studer , Yun Li , Kevin Kelly , Richard G. Baraniuk

We develop a lensless compressive imaging architecture, which consists of an aperture assembly and a single sensor, without using any lens. An anytime algorithm is proposed to reconstruct images from the compressive measurements; the…

Computer Vision and Pattern Recognition · Computer Science 2015-08-17 Xin Yuan , Hong Jiang , Gang Huang , Paul Wilford

We develop novel compressive coded rotating mirror (CCRM) camera to capture events at high frame rates in passive mode with a compact instrument design at the fraction of the cost compared to other high-speed imaging cameras. Operation of…

Image and Video Processing · Electrical Eng. & Systems 2020-11-24 Amir Matin , Xu Wang

Snapshot compressed sensing (CS) refers to compressive imaging systems in which multiple frames are mapped into a single measurement frame. Each pixel in the acquired frame is a noisy linear mapping of the corresponding pixels in the frames…

Information Theory · Computer Science 2019-04-30 Shirin Jalali , Xin Yuan

Manifold amount of video data gets generated every minute as we read this document, ranging from surveillance to broadcasting purposes. There are two roadblocks that restrain us from using this data as such, first being the storage which…

Computer Vision and Pattern Recognition · Computer Science 2019-07-10 Sathyaprakash Narayanan , Yeshwanth Bethi , Chetan Singh Thakur

By placing a diffractive element in front of an image sensor, we are able to multiplex the spectral and angular information of a scene onto the image sensor. Reconstruction of the angular-spectral distribution is attained by first…

Optics · Physics 2018-02-06 Peng Wang , Rajesh Menon

We demonstrate a compact and easy-to-build computational camera for single-shot 3D imaging. Our lensless system consists solely of a diffuser placed in front of a standard image sensor. Every point within the volumetric field-of-view…

Computer Vision and Pattern Recognition · Computer Science 2017-10-06 Nick Antipa , Grace Kuo , Reinhard Heckel , Ben Mildenhall , Emrah Bostan , Ren Ng , Laura Waller

A simple method for synchronization of video streams with a precision better than one millisecond is proposed. The method is applicable to any number of rolling shutter cameras and when a few photographic flashes or other abrupt lighting…

Computer Vision and Pattern Recognition · Computer Science 2020-08-10 Matej Smid , Jiri Matas

This paper introduces a framework for super-resolution of scalable video based on compressive sensing and sparse representation of residual frames in reconnaissance and surveillance applications. We exploit efficient compressive sampling…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Mohammad Hossein Moghaddam , Mohammad Javad Azizipour , Saeed Vahidian , Besma Smida

Polarization imaging is a technique that creates a pixel map of the polarization state in a scene. Although invisible to the human eye, polarization can assist various sensing and computer vision tasks. Existing polarization cameras use…

Image and Video Processing · Electrical Eng. & Systems 2026-03-19 Noa Kraicer , Shay Elmalem , Erez Yosef , Hani Barhum , Raja Giryes

Reducing the number of pixels in video signals while maintaining quality needed for recovering the trace of an object using Compressive Sensing is main subject of this work. Quality of frames, from video that contains moving object, are…

Computer Vision and Pattern Recognition · Computer Science 2019-03-18 Marijana Kracunov , Milica Bastica , Jovana Tesovic

Snapshot multi-dimensional imaging offers a promising alternative to traditional low-dimensional imaging techniques by enabling the simultaneous capture of spatial, spectral, polarization, and other information in a single shot for improved…

Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor. The main idea has been that a low resolution sensor is covered with a non-regular sampling mask followed by a…

Image and Video Processing · Electrical Eng. & Systems 2022-04-11 Markus Jonscher , Jürgen Seiler , Michel Bätz , Thomas Richter , Wolfgang Schnurrer , André Kaup

A compressive sensing method combined with decomposition of a matrix formed with image frames of a surveillance video into low rank and sparse matrices is proposed to segment the background and extract moving objects in a surveillance…

Computer Vision and Pattern Recognition · Computer Science 2013-02-11 Hong Jiang , Wei Deng , Zuowei Shen

A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover {multiple} color frames for each of the original measured frames, and each of the…

Computer Vision and Pattern Recognition · Computer Science 2014-02-28 Xin Yuan , Patrick Llull , Xuejun Liao , Jianbo Yang , Guillermo Sapiro , David J. Brady , Lawrence Carin

We demonstrated a CMOS imaging system that adapts each pixel's exposure and sampling rate to capture high dynamic range (HDR) videos. The system consist of a custom designed image sensor with pixel-wise exposure configurability and a…

Image and Video Processing · Electrical Eng. & Systems 2019-06-25 Jie , Zhang , Jonathan P. Newman , Xiao Wang , Chetan Singh Thakur , John Rattray , Ralph Etienne-Cummings , Matthew A. Wilson

By replacing the lens with a thin optical element, lensless imaging enables new applications and solutions beyond those supported by traditional camera design and post-processing, e.g. compact and lightweight form factors and visual…

Computer Vision and Pattern Recognition · Computer Science 2022-06-06 Eric Bezzam , Martin Vetterli , Matthieu Simeoni

Point-source transient events (PSTEs) - optical events that are both extremely fast and extremely small - pose several challenges to an imaging system. Due to their speed, accurately characterizing such events often requires detectors with…

Machine Learning · Statistics 2025-02-13 Frank Qiu , Joshua Michalenko , Lilian K. Casias , Cameron J. Radosevich , Jon Slater , Eric A. Shields
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