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Kaushik Mitra

Assistant Professor
Department of Electrical Engineering
Indian Institute of Technology, Madras
office. CSD 303
email. kmitra -at- ee .dot. iitm .dot. ac .dot. in

Computational Imaging @ IITM Lab

Please visit our lab website

Research

Traditionally, imaging/camera design and imaging inference (image processing, computer vision) have been done independently. However, by jointly designing the imaging optics and inference algorithms, we can significantly enhance the performance of conventional cameras. This is the philosophy behind the fast evolving field of Computational Imaging (CI). My research focuses on the following themes:

  • Develop theory to explore the performance limits of CI systems

  • Develop novel CI systems

  • Explore the promise of data-driven signal models in CI and computer vision

Theory for computational imaging


Framework for analysis of CI systems
IEEE TPAMI 2014

Data-driven design for CI systems
ICCP 2014

Denoise or deblur: Parameter optimization for imaging systems
SPIE Electronic Imaging, 2014

Analyzing computational imaging systems
SPIE Newsroom, 2013

Novel CI systems and processing algorithms


Focal-sweep for large aperture time-of-flight cameras
ICIP 2016

Spatial Phase-Sweep: Increasing temporal resolution of transient imaging using a light source array
ICIP 2016

"Improving resolution of light field using hybrid imagingdesign"
ICCP 2014

Compressive epsilon photography
SIGGRAPH 2014

A common framework for light field processing
CVPR Workshop 2012

Towards compressive camera networks
IEEE Computer 2014

Machine learning for computer vision


Deep generative models for computational imaging
ICIP 2017, under review in IEEE TCI

Missing data matrix factorization
NIPS 2010

Analysis of sparsity based robust regressionalgorihms
IEEE TSP 2013

Robust regression using sparse learning techniques
ICASSP 2010

Robust RVM regression using sparse outlier model
CVPR 2010

Computer vision (Face recognition and SfM)


Blur and illumination robust face recognition
IEEE TIP 2013

Recognition of motion blurred faces
Book chapter in Motion Deblurring, CUP, 2014

Projective bundle adjustment using L-infty norm
ICVGIP 2008

Webpage credits

This webpage is modeled after Aswin's webpage.