A technique to see through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that is similar to LIDAR to recover the target depth and reflectance.
For example, we show recovery of objects 57 cm away from the camera while the visibility is only 37 cm. Demonstrating 6 times better contrast.

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  Category: News

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March 20th, 2018

Seeing Through Realistic Fog

A technique to see through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that […]

March 29th, 2017

Efficient Lensless Imaging with a Femto-Pixel

Lensless Imaging with Compressive Ultrafast Sensing Guy Satat, Matthew Tancik, Ramesh Raskar Traditional cameras require a lens and a mega-pixel […]

September 28th, 2016

How to see through tissue

All Photons Imaging Through Volumetric Scattering Guy Satat, Barmak Heshmat, Dan Raviv, Ramesh Raskar We demonstrate a new method that […]

September 13th, 2016

Ramesh Raskar Lemelson-MIT 2016 Winner

Congratulations to Professor Ramesh Raskar and the Camera Culture Group  – Winner of the 2016 Lemelson-MIT prize Ramesh Raskar and […]

September 12th, 2016

The World is Our Lab

by Roger Archibald Photo credit: John Werner Ramesh Raskar, head of the Media Lab’s Camera Culture Group, takes measure of […]

September 8th, 2016

Can computers read through a book page by page without opening it?

Terahertz time-gated spectral imaging for content extraction through layered structures A. R. Sanchez, B. Heshmat*, A. Aghasi, M. Zhang, S. […]

March 27th, 2016

Handheld 3D Imager to visualize features in the throat like tonsils!

3D visualization of oral cavity and oropharyngeal anatomy may play an important role in the evaluation for obstructive sleep apnea […]

February 24th, 2016

How to use computer vision to improve cities

– Nikhil Naik Transcript from TEDx Beacon Street November, 2015 Here we see a picture of a little girl walking […]

February 12th, 2016

Optical Brush

Optical brush is an open-ended bundle of optical fibers that is enabled with time of flight technology to image and […]

December 3rd, 2015

Innovating for Billions – Ramesh Raskar’s UIST Keynote

28th ACM User Interface Software and Technology Symposium Charlotte, NC November 8-11, 2015 Watch the presentation on Youtube HERE Keynote […]

December 2nd, 2015

Making 3-D imaging 1,000 times better

Algorithms exploiting light’s polarization boost resolution of commercial depth sensors 1,000-fold. See MIT coverage here. Read more about the work […]

November 26th, 2015

Engineering Health Class Final Presentations on 4 Dec

Great projects and demos- wearables, 3D imaging, novel stethoscopes, imaging the eye, oral imaging.  Followed by health night with guest […]

November 2nd, 2015

Engineering Health Class featured in Medtech

Our Engineering Health class was featured in Medtech Boston. Read the full article here.

October 26th, 2015

OPEN POSITIONS: Technical Assistants

Technical Assistant # 1 Date: December-4-2015 The Camera Culture group at the MIT Media Lab focuses on making the invisible […]

September 30th, 2015

How to Make a City Smart? The Indian Context

By: Pranav Chandrasekaran   Introduction – by Ramesh Raskar, Associate Professor Media Arts and Sciences, Head of the Camera Culture […]

September 8th, 2015

Engineering Health Fall 2015 Course

MAS.S62: Join us for the first class on Friday, 11 Sept, 1-4 pm in E15-341(Click to go to class webpage)

June 26th, 2015

Vahe Tahmazyan Graduates with Best Thesis

June 26th, 2015

Vahe Tahmazyan Recounts on his Time as a Visiting Student

June 26th, 2015

ICCP 2015 Best Paper runner-up: Unbounded High Dynamic Range Photography

Our paper “Unbounded High Dynamic Range using a modulo camera” wins the Best Paper runner-up in International Conference on Computational Photography […]

April 13th, 2015

New paper in Nature Communications

Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion Using time resolved and sparse optimization framework to locate […]