Computational imaging - Wikipedia
https://en.wikipedia.org/wiki/Computational_imaging
Computational imaging is the process of indirectly forming images from measurements using algorithms that rely on a significant amount of computing. In contrast to traditional imaging, computational imaging systems involve a tight integration of the sensing system and the computation in order to form the images of interest.
Computational Imaging | Course | Stanford Online
https://online.stanford.edu/courses/ee367-computational-imaging
This course serves as an introduction to the developing field of computational imaging and displays by exploring trends that push the boundaries of design to create immersive experiences. Topics Include 3D capabilities Applied mathematics Bits and photons Computation Contrast and resolution Electronics Optics What You Need to Succeed
Home | Computational Imaging Group | Washington University in St. Louis
https://cigroup.wustl.edu/
Computational Imaging Group (CIG) develops advanced algorithms for fast and reliable acquisition, efficient processing, and automated analysis of imaging data, including 2D, 3D, or 4D images and videos. Applications include biomedical imaging, material sciences, geospatial sensing, space exploration, industrial inspection, and consumer electronics.
Computational Imaging - MIT Press
https://mitpress.mit.edu/9780262046473/computational-imaging/
A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics.Computational...
Computational Imaging
https://www.computationalimaging.org/
Our Mission We develop next-generation computational imaging, display, and neural rendering systems. These have a multitude of applications in the metaverse, computer graphics and vision, consumer electronics, microscopy, human-computer interaction, scientific imaging, health, and remote sensing.
EE367 / CS448I: Computational Imaging - Stanford University
https://web.stanford.edu/class/ee367/
Computational imaging systems have a wide range of applications in consumer electronics, scientific imaging, HCI, medical imaging, microscopy, and remote sensing.
Computational imaging: Methods, benefits, and enabling technologies ...
https://www.vision-systems.com/cameras-accessories/article/16751994/computational-imaging-methods-benefits-and-enabling-technologies
Computational imaging (CI) refers to digital image capture and processing techniques that combine computation and optical encoding. Fundamentally, CI relies on data extracted and computed from a series of input images captured under different lighting or optical conditions. There are a few basic principles involved:
Computational imaging/photography research at Snap Research
https://engineering.purdue.edu/ECE/Events/2022/computational-imaging-photography-research-at-snap-research
We have exciting and real Computational Imaging (CI) and Computational Photography (CP) research problems from our product Snapchat App (a multimedia instant messaging app with 363 million daily active users, Q3, 2022) and future product Snap Spectacles, our industry-leading AR glasses.
Computational Imaging
http://compimaging.org/
A comprehensive and up-to-date textbook and reference for computational imaging. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities.
Computational photography - Wikipedia
https://en.wikipedia.org/wiki/Computational_photography
Computational photography refers to digital image capture and processing techniques that use digital computation instead of optical processes. Computational photography can improve the capabilities of a camera, or introduce features that were not possible at all with film based photography, or reduce the cost or size of camera elements.
Lecture 9: Computational imaging: a survey of medical and scientific ...
https://ocw.mit.edu/courses/mas-531-computational-camera-and-photography-fall-2009/resources/mitmas_531f09_lec09_12/
Computational Camera and Photography. Menu. More Info Syllabus Readings Audio Lectures Lecture Notes ... Related Resources Lecture 9: Computational imaging: a survey of medical and scientific applications. Viewing videos requires an internet connection Transcript. Course Info Instructor Prof. Ramesh Raskar; Departments ...
Computational imaging - Optica
https://opg.optica.org/aop/abstract.cfm?uri=aop-10-2-409
Abstract We review advances in Computational Imaging that have occurred since the mid-1990s. The advent of highly integrated platforms, such as the smartphone, has made the linkage between optics and processing intimate and natural.
Research Overview - Toronto Computational Imaging Group
https://compimaging.dgp.toronto.edu/overview/
Whether the camera in your smart phone, self-driving cars, MRI scanners, or even the James Webb Space Telescope, computational imaging systems have dramatically improved our ability to capture, process, and interpret our surroundings.
Computational Imaging Teaching
https://www.computationalimaging.org/teaching/
Computational imaging systems have a wide range of applications in consumer electronics, scientific imaging, HCI, medical imaging, microscopy, and remote sensing. We discuss light fields, time-of-flight cameras, multispectral imaging, thermal … Read more
Rice Computational Imaging Group | Veeraraghavan Lab
http://computationalimaging.rice.edu/
Rice Computational Imaging Lab Our lab focuses on solving hard and challenging problems in imaging and vision by co-designing sensors, optics, electronics, signal processing, and machine learning algorithms. This emerging area of research is called computational imaging or more generally computational sensing.
Computational imaging and microscopy - Berkeley Institute for Data Science
https://bids.berkeley.edu/research/computational-imaging-and-microscopy
BIDS Faculty Affiliate Laura Waller offers this project through UC Berkeley's Undergraduate Research Apprentice Program (URAP). Waller's Computational Imaging Lab at UC Berkeley is building new microscopes that use computation to do things that microscopes normally can't, like 3D imaging, gigapixel imaging or phase imaging.
Computational Imaging » FoxGreat
https://foxgreat.com/computational-imaging/
Description A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities.
Computational Imaging
https://beckman.illinois.edu/research/integrative-imaging-research-theme/computational-imaging
Members of the Computational Imaging Group are experts in image data acquisition, reconstruction, and processing. They also do machine learning, and computational modeling. They develop advanced theory, algorithms, and software tools for new systems, integrating physics modeling, biological modeling, and machine learning. Group members are well ...
Principle of Computational Imaging, illustrated with a CCS ultra ...
http://www.computationalimaging.com/technology/
Currently there are many examples of computational imaging techniques, each with its own set of processes and resulting benefits - they share the following key principles of computational imaging: Computation is inherent in the image formation process Combines special optics and/or lighting along with image processing during image capture
CCS LED illumination systems for Computational Imaging
http://www.computationalimaging.com/
Computational Imaging (CI) refers to digital image capture and processing techniques that combine computation and optical encoding. Relying on data extracted and computed from a series of input images captured under different lighting or optical conditions, CI can improve the capability of a camera or introduce new features not previously possible.
Computational Imaging Research Center - Washington University in St. Louis
https://www.mir.wustl.edu/research/research-centers/computational-imaging-research-center-circ/
Computational Imaging Research Center. Created as an innovative imaging technology initiative between the Schools of Engineering and Medicine, the Computational Imaging Research Center (CIRC) has evolved over more than three decades to encompass a broad computational, informatics and artificial intelligence R&D program.
Diffusion equation based parameterization of light field and ...
https://www.sciencedirect.com/science/article/pii/S2405844022029140
The computational imaging model via the proposed light field parameterization is formed, and the scene depth reconstruction and the AIF imaging with the consistent depth resolution are realized. As an approach to capture the 3D scene, the focal stack data contains a wealth of 3D scene information. The data acquisition process does not require ...
Computational Imaging | Science Partner Journal
https://spj.sciencemag.org/intelligent-computing-special-issues/computational-imaging/
The field of "computational imaging" has emerged in the last 10 years as a very powerful paradigm, where advanced algorithms and hardware worked in synchrony to provide revolutionary advances in...
Anxiety Disorders: Neural Computational Perspectives from Mechanism to ...
https://www.frontiersin.org/research-topics/48139/anxiety-disorders-neural-computational-perspectives-from-mechanism-to-behavior
Keywords: anxiety disorders, neural computational, mechanism, neural imaging, big data . Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements.Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Metrology - Computational Imaging • BETR Center
https://www.betr.berkeley.edu/computational-imaging/
Computational imaging is an emerging field of metrology, involving the co-design of imaging system hardware and software for optimization across the entire pipeline from acquisition to reconstruction. The defining idea is that computers can replace bulky and expensive optics by solving computational inverse problems. With this approach, new ...
Computational Imaging Hardcover - October 25, 2022 - amazon.com
https://www.amazon.com/Computational-Imaging-Ayush-Bhandari/dp/0262046474
Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and ...
Deep Learning Imaging: Applications in Genomics and Embryology
https://cals.cornell.edu/deep-learning-imaging-applications-genomics-and-embryology
A Department of Computational Biology Seminar Featuring Dr. Iman Hajirasouliha, Associate Professor, Department of Physiology and Biophysics, Weill Cornell Medicine In this talk, we discuss two deep-learning imaging models with applications in (a) human genome structural variant detection and (b) assessing embryo quality and the prediction of aneuploid embryos.
Research Scientist Intern, Computational Imaging (PhD)
https://www.careerbuilder.com/job/J3N2NV6F2JC72R052SN
Research Scientist Intern, Computational Imaging (PhD) Responsibilities * Investigate novel computational imaging systems that achieve high performance through a combination of algorithms and optics. * Collaborate with scientists and engineers from a variety of technical backgrounds through all stages of project development.
Passive imaging ambient noise | Computational science | Cambridge ...
https://cambridge.org/us/academic/subjects/mathematics/computational-science/passive-imaging-ambient-noise?format=HB
Waves generated by opportunistic or ambient noise sources and recorded by passive sensor arrays can be used to image the medium through which they travel. Spectacular results have been obtained in seismic interferometry, which open up new perspectives in acoustics, electromagnetics, and optics. The authors present, for the first time in book ...