6 citations · 8 across the 4 of their papers we have counts for
6 papers
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
Faranak Shamsafar, Sunil Jaiswal, Benjamin Kelkel +2
Printed circuit boards (PCBs) are essential components of electronic devices, and ensuring their quality is crucial in their production. However, the vast variety of components and…
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…
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…
Removing Multi-frame Gaussian Noise by Combining Patch-based Filters with Optical Flow
Kireeti Bodduna, Joachim Weickert
Patch-based approaches such as 3D block matching (BM3D) and non-local Bayes (NLB) are widely accepted filters for removing Gaussian noise from single-frame images. In this work, we…
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…
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…