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The Spectrum Lab is a research group led by Prof. Chandra Sekhar Seelamantula in the Department of Electrical Engineering at the Indian Institute of Science. The lab focuses on problems in the intersection of computational imaging and machine learning.

Spectrum Lab, past and present, at ICASSP 2025, in Hyderabad, India.

Lab Director

Chandra Sekhar Seelamantula is a Professor in the Department of Electrical Engineering at the Indian Institute of Science (IISc), Bangalore. He received his Bachelor of Engineering degree with Prof. K. K. Nair Gold Medal from Osmania University in 1999 and Ph.D. from IISc in 2005.

After completing postdoctoral research at EPFL, Switzerland (2006–2009), he joined IISc as faculty in 2009 and now leads the Spectrum Lab. His research interests include signal processing, machine learning, Generative AI, computational imaging, and AI for Healthcare.

He has served in various editorial roles including Senior Area Editor for IEEE Signal Processing Letters and Associate Editor for IEEE Transactions on Image Processing. He is a recipient of multiple awards including the Grand Challenges Exploration Award from Gates Foundation and the Qualcomm Innovation Fellowship.

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News

Oct 07, 2025	Our work spline-based 3D reconstruction technique, "SplineSplat" got accepted in SIGGRAPH Asia 2025, Technical Communications!
Sep 11, 2025	“Deep Unsupervised Despeckling via Unbiased Risk Estimation,” is a spotlight presentation at ICIP 2025!
Aug 08, 2025	We have two Qualcomm Innovation Fellowships awarded! Congratulations to Nygel, Abhishek and Abijith.

Research Highlights

Aug 06, 2025	The Role of the Data-Fidelity Term in Solving Linear Inverse Problems
Apr 18, 2024	Neuromorphic Unlimited Sampling

Recent Publications

IEEE ICIP 25

Deep Unsupervised Despeckling With Unbiased Risk Estimation

A. Gupta, C. S. Seelamantula, T. Blu, N. Dube, and S. Raman

In IEEE International Conference on Image Processing (ICIP), 2025

DOI Bib URL

@inproceedings{gupta2025deep,
  author = {Gupta, A. and Seelamantula, C. S. and Blu, T. and Dube, N. and Raman, S.},
  booktitle = {IEEE International Conference on Image Processing (ICIP)},
  title = {Deep Unsupervised Despeckling With Unbiased Risk Estimation},
  year = {2025},
  volume = {},
  number = {},
  pages = {893-898},
  doi = {10.1109/ICIP55913.2025.11084619},
  url = {https://ieeexplore.ieee.org/document/11084619},
}

ICASSP 25

Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition

A. J. Kamath, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

Bib URL

@inproceedings{kamath2025neuromorphic,
  author = {Kamath, A. J. and Seelamantula, C. S.},
  title = {Neuromorphic Unlimited Sampling for High-Dynamic-Range Video Acquisition},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2025},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:BJbdYPG6LGMC},
}

ICASSP 25

Diffusion Model Based Image Reconstruction in Lensless Imaging

A. Verma, V. Boominathan, A. Veeraraghavan, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

Bib URL

@inproceedings{verma2025diffusion,
  author = {Verma, A. and Boominathan, V. and Veeraraghavan, A. and Seelamantula, C. S.},
  title = {Diffusion Model Based Image Reconstruction in Lensless Imaging},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2025},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:vDZJ-YLwNdEC},
}

ICASSP 25

Monte Carlo Score Matching for Image Generation

N. Shetty, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

Bib URL

@inproceedings{shetty2025monte,
  author = {Shetty, N. and Seelamantula, C. S.},
  title = {Monte Carlo Score Matching for Image Generation},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2025},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tH6gc1N1XXoC},
}

ICASSP 25

Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks

K. K. R. Nareddy, I. Perumal, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

Bib URL

@inproceedings{nareddy2025intriguing,
  author = {Nareddy, K. K. R. and Perumal, I. and Seelamantula, C. S.},
  title = {Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year = {2025},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:gKiMpY-AVTkC},
}

Lab Director

Chandra Sekhar Seelamantula

News

Research Highlights

Recent Publications

Funding