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Kireeti Bodduna

Saarland University

4 papers hereh-index 444 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV1
affiliations
  • Saarland University
Homepage
same name
  • Kireeti Bodduna — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedImage denoising with less artefacts: Novel non-linear filtering on fast patch reorderings

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Multi-frame Super-resolution from Noisy Data

Kireeti Bodduna, Joachim Weickert, Marcelo Cárdenas

Obtaining high resolution images from low resolution data with clipped noise is algorithmically challenging due to the ill-posed nature of the problem. So far such problems have ha…

eess.IV2020★ 2 cited

Image denoising with less artefacts: Novel non-linear filtering on fast patch reorderings

Kireeti Bodduna, Joachim Weickert

Leading denoising methods such as 3D block matching (BM3D) are patch-based. However, they can suffer from frequency domain artefacts and require to specify explicit noise models. W…

eess.IV2019

Poisson Noise Removal Using Multi-Frame 3D Block Matching

Kireeti Bodduna, Joachim Weickert

The 3D block matching (BM3D) filter belongs to the state-of-the-art techniques for eliminating additive white Gaussian noise from single-frame images. There exist four multi-frame…

eess.IV2019

Enhancing Patch-Based Methods with Inter-frame Connectivity for Denoising Multi-frame Images

Kireeti Bodduna, Joachim Weickert

The 3D block matching (BM3D) method is among the state-of-art methods for denoising images corrupted with additive white Gaussian noise. With the help of a novel inter-frame connec…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.