|
|
Position: |
Former Research Assistant |
E-mail: |
bodduna -at- mia.uni-saarland.de
(please replace anti-spam -at- by @)
|
|
- 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
-
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.
-
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.
Conference Papers
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
K. Bodduna, R. Siddavatam:
Detection and removal of random valued impulse noise using cardinal splines.
Annual IEEE India Conference (INDICON), 1003-1008, Dec. 2012.
Technical Reports
-
K. Bodduna, J. Weickert:
Image Denoising with Less Artefacts: Novel Non-linear Filtering on
Fast Patch Reorderings.
arXiv:2002.00638 [eess.IV], February 2020.
Theses
-
K. Bodduna: Corner preserving diffusion filtering.
Research Immersion Lab (mini-Masters thesis),
Saarbrücken Graduate School of Computer Science, Saarland University,
Germany, Sep. 2016.
-
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.
- Winter term 2017:
Tutorial organisation for
Advanced Image Analysis
- Summer term 2017:
Tutorial organisation for
Image Processing and Computer Vision
- August 2014 - March 2015:
High school physics teacher,
Hyderabad, India.
Journals
|