Welcome to the homepage of

Kireeti Bodduna

PhD Student


Position:    PhD Student (Wissenschaftlicher Mitarbeiter)
Phone: +49-681-302-57356
E-mail: bodduna -at- mia.uni-saarland.de
Address: Mathematical Image Analysis Group,
Faculty of Mathematics and Computer Science,
Campus E1.7,
66123 Saarbrücken, Germany
Office: Room 4.05,
Building E1.7, Saarbrücken Campus
see also Contact


  • Application: Increasing the resolution, removing noisy information, and enhancing structural information in 2D/3D imaging data.
  • Methods: Partial differential equations, variational techniques, non-local patch-based filters and interpolation methods.

    Journal Papers

  1. K. Bodduna, J. Weickert:
    Removing multi-frame Gaussian noise by combining patch-based filters with optical flow.
    To appear in Journal of Electronic Imaging.
    Also available as arXiv:2001.08058 [eess.IV], revised May 2021.

  2. S. Jayasree, K. Bodduna, P.K. Pattnaik, R. Siddavatam:
    Salt-and-pepper noise removal and edge-detail preservation using cardinal spline interpolation.
    Journal of Visual Communication and Image Representation,25(6):1349-65, Aug. 2014.

  3. Conference Papers

  4. K. Bodduna, J. Weickert, M. Cárdenas:
    Multi-frame super-resolution from noisy data.
    In A. Elmoataz, J. Fadili, Y. Quéau, J. Rabin, L. Simon (Eds.): Scale Space and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 12679, Springer, Cham, 565-577, 2021.
    Also available as arXiv:2103.13778 [eess.IV], March 2021.

  5. K. Bodduna, J. Weickert:
    Poisson Noise Removal Using Multi-Frame 3D Block Matching.
    Proc. 8th European Workshop on Visual Information Processing (EUVIP 2019, Rome, Italy, Oct. 2019), 58-63, 2019.
    Also available as arXiv:1909.08281 [eess.IV], September 2019.
  6. K. Bodduna, J. Weickert:
    Enhancing patch-based methods with inter-frame connectivity for denoising multi-frame images.
    Proc. 2019 IEEE International Conference on Image Processing (ICIP 2019, Taipei, Taiwan, Sept. 2019), 2414-2418, 2019.
    Also avalable as arXiv:1906.07109 [eess.IV], June 2019.

  7. K. Bodduna, J. Weickert, A. S. Frangakis:
    Hough based evolutions for enhancing structures in 3D electron microscopy.
    In M. Vento, G. Percannella (Eds.): Computer Analysis of Images and Patterns. Lecture Notes in Computer Science, Vol. 11678, 102-112, Springer, Cham, 2019.

  8. K. Bodduna, J. Weickert:
    Evaluating data terms for variational multi-frame super-resolution.
    In F. Lauze, Y. Dong, A. B. Dahl (Eds.): Scale Space and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Vol. 10302, 590-601, Springer, Cham, 2017.

  9. R. Roy, K. Bodduna, N. Kumari, R. Siddavatam:
    Mesh smoothing algorithm for 3D graphical models using cubic b-splines.
    Information Systems Design and Intelligent Applications, 467-474, Springer, India, 2015.

  10. K. Bodduna, R. Siddavatam:
    Detection and removal of random valued impulse noise using cardinal splines.
    Annual IEEE India Conference (INDICON), 1003-1008, Dec. 2012.

  11. Technical Reports

  12. K. Bodduna, J. Weickert:
    Image Denoising with Less Artefacts: Novel Non-linear Filtering on Fast Patch Reorderings.
    arXiv:2002.00638 [eess.IV], February 2020.
  13. Theses

  14. K. Bodduna: Corner preserving diffusion filtering.
    Research Immersion Lab (mini-Masters thesis),
    Saarbrücken Graduate School of Computer Science, Saarland University, Germany, Sep. 2016.

  15. K. Bodduna: Sky localization of gravitational waves using network detectors.
    M.S. Thesis in Physics,
    Indian Institute of Science Education and Research (IISER), Kolkata, India, Aug. 2014.

    Journals




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