Kaushik Mitra

Associate Professor

Ph.D.  Electrical and Computer Engineering University of Maryland, College Park, MD, USA

Master of Engineering (M.E.)  Telecommunication Engineering ECE Department, Indian Institute of Science, Bangalore, India

Bachelor of Technology (B.Tech.),  Radiophysics and Electronics University of Calcutta, Kolkata, India

044-2257 4411

  • Dr. Kaushik Mitra leads the Computational Imaging lab at Indian Institute of Technology (IIT) Madras. He is an Assistant Professor in the department of Electrical Engineering, IITM. Before joining IITM, he was a postdoctoral research associate with Ashok Veeraraghavan at ECE department of Rice University. Here, he worked on framework for analysis of Computational Imaging (CI) systems.
  • Prior to that, he earned his Ph.D in Electrical and Computer Engineering from the University of Maryland, College Park, where his research focus was on the development of statistical models and optimization algorithms for computer vision problems. Currently, his research interests are in computational imaging, computer vision and machine learning.

  • My research interests are in Computational Imaging, Image Processing and Computer Vision.
  • Traditionally, camera optics design and imaging inference (image processing, computer vision algorithms)have been done more or less independently.
  • However, in Computational Imaging ,the camera optics and the processing/inference algorithms are co-designed so that we can capture more information about the visual scene and we can significantly enhance the performance of imaging systems.
  • Our research focuses on the following aspects of Computational Imaging (CI):
  • Develop novel CI systems
  • Develop theory to explore the performance limits of CI systems
  • Design deep learning algorithms for solving inverse problems in CI, image processing and computer vision.
  • Light Field Reconstruction from Compressive and Sparse Measurements.
  • Lensless Imaging: Reconstruction, Inference and Design.
  • Real-time Restoration of Extremely Dark (Single and Multiview) Images.

  • Students from my lab have won the prestigious Qualcomm Innovation Fellowship Award 4 times, for the years 2016, 2017 (super-winner), 2020 and 2021 and I was the faculty mentor for all these awards.
  • Graduate student fellowship at University of Maryland from 2004 - 2006.
  • Ranked Second in M E (Telecommunication Engineering) at IISc, Bangalore.
  • All India Rank Second in ECE, Graduate Apitute Test in Engineering (GATE) 2001.
  • Ranked first in B Tech (Radio Physics and Electronics) at University of Calcutta.
  • Ranked first in B Sc (Physics Honors) at University of Calcutta.

    Previous Courses

  • Computational Photography (EE5176).
  • Deep Learning for Imaging (EE5179, taught under EE6132).
  • Modern Computer Vision (EE5178, taught under EE6132).
  • Machine Learning for Computer Vision (EE5177).
  • Data Analytics Lab (EE4708).
  • Probability Foundations for Electrical Engineers (EE3110).
  • Signals and Systems (EE1101).
  • Digital Signal Processing (EE2004).


  • H Gupta, K Mitra, Toward Unaligned Guided Thermal Super-Resolution, in IEEE Transactions on Image Processing, vol 31, 2021.
  • P Shedligeri, K Mitra, High frame rate optical flow estimation from event sensors via intensity estimation, Computer Vision and Image Understanding, vol 208-209, 2021.
  • P Shedligeri, S Anupama, K Mitra, CodedRecon: Video reconstruction for coded exposure imaging techniques, Software Impacts, vol 8, 2021.
  • M Lamba, K Rachavarapu, K Mitra, Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging, IEEE Transactions on Image Processing (TIP), 2020.
  • S S Khan, V Sundar, V Boominathan, A Veeraraghavan, K Mitra, FlatNet: Towards Photorealistic Scene Reconstruction From Lensless Measurements, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
  • P Shedligeri, K Mitra, Photorealistic image reconstruction from hybrid intensity and eventbased sensor, Journal of Electronic Imaging 28 (6), 063012, 2019.
  • S M Shankaranarayana, K Ram, K Mitra, M Sivaprakasam, Fully convolutional networks for monocular retinal depth estimation and optic disc-cup segmentation, IEEE Journal of Biomedical and Health Informatics 23 (4), 1417-1426, 2019.
  • A K Vadathya, S Girish, K Mitra, A Unified Learning-Based Framework for Light Field Reconstruction From Coded Projections, IEEE Transactions on Transactions on Computational Imaging,6, 304-316, 2019.
  • A Dave, A K Vadathya, R Subramanyam, R Baburaj, K Mitra, Solving Inverse Computational Imaging Problems using Deep Pixel-level Priors, IEEE Transactions on Computational Imaging, 5 (1), 37-51, 2018.
  • J Holloway, K Mitra, S Koppal, A Veeraraghavan, Generalized Assorted Camera Arrays: Robust Cross-channel Registration and Applications, IEEE Transactions on Image Processing (TIP), vol 24(3), March 2015.

Conference Proceedings

  • Shrisudhan G, P Shedligeri, Sarah, K Mitra, Synthesizing Light Field Video from Monocular Video, Accepted in European Conference on Computer Vision (ECCV) for Oral presentation, 2022.
  • A Saha, S S Khan, S Sehrawat, S Prabhu, S Bhattacharya, K Mitra,LWGNet - Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval, Accepted in European Conference on Computer Vision (ECCV), 2022.
  • P Shedligeri, F Schiffers, S Ghosh, O Cossairt, K Mitra, SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video, IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  • B H P Prasad, G Rosh K S, L R Boregowda, K Mitra, S Chowdhury, V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal, IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  • M Lamba, K Mitra, Restoring Extremely Dark Images in Real Time, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • S S Khan, V R Adarsh, V Boominathan, J Tan, A Veeraraghavan, K Mitra, Towards photorealistic reconstruction of highly multiplexed lensless images, IEEE International Conference on Computer Vision (ICCV), 7860-7869, 2019.
  • K Mitra, S Sheorey, R Chellappa, Large-Scale Matrix Factorization with Missing Data under Additional Constraints, Advances in Neural Information Processing Systems (NIPS) 2010.
  • K Mitra, A Veeraraghavan and R Chellappa, Robust RVM Regression Using Sparse Outlier Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010.
  • M Lamba, K Mitra, Fast and Efficient Restoration of Dark Light Fields Winter Conference on Applications of Computer Vision (WACV), 2022.
  • P Shedligeri, K Mitra, A unified framework for compressive video recovery from coded exposure techniques, IEEE/CVF Winter Conference on Applications of Computer Vision, 2021.
  • S Anupama, P Shedligeri, A Pal, K Mitra, Video reconstruction by spatio-temporal fusion of blurred-coded image pair, 25th International Conference on Pattern Recognition (ICPR), 2021.
  • M Lamba, A Balaji and K Mitra, Towards Fast and Light-Weight Restoration of Dark Images, British Machine Vision Conference (BMVC), 2020.
  • J Tan, S S Khan, V Boominathan, J Byrne, R Baraniuk, K Mitra, A Veeraraghavan, CANOPIC: Pre-Digital Privacy-Enhancing Encodings for Computer Vision, IEEE International Conference on Multimedia and Expo (ICME), 2020.


  • A Ito, A Veeraraghavan, K Mitra, S Tambe, Image processing apparatus, image processing method, and program, US Patent 9,420,201, Publication date: 2016/8/16.
  • Renju P B, K Mitra, Miniglove based gesture recognition device, Applied for Indian Patent, No 201641029418, 28/09/2017.
  • Renju P B, K Mitra, Finger-worn device operable as mouse/keyboard and method for realizing the same, Applied for Indian Patent, No 202241009250, 22/02/2022.
  • M Lamba, K Mitra, Methods and system for real -time restoration of images captured in extreme low-light condition, Applied for Indian Patent, No 202141026548, 15/06/2021.
  • M Lamba, K Mitra, Restoring Light Field (LF) views captured by LF cameras, Applied for Indian Patent, No 202141055779, 01/12/2021.
  • K Mitra, S Bhattacharya, A Saha, S S Khan, S Sehrawat, S Prabhu, An imaging system and a method for Fourier ptychographic microscopy (FPM), Applied for Indian Patent, No 202241041213, 19/7/2022.

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