| Understanding, optimising, and extending data compression with anisotropic diffusion C Schmaltz, P Peter, M Mainberger, F Ebel, J Weickert, A Bruhn International Journal of Computer Vision 108, 222-240, 2014 | 97 | 2014 |
| Turning diffusion-based image colorization into efficient color compression P Peter, L Kaufhold, J Weickert IEEE Transactions on Image Processing 26 (2), 860-869, 2016 | 54 | 2016 |
| Evaluating the true potential of diffusion-based inpainting in a compression context P Peter, S Hoffmann, F Nedwed, L Hoeltgen, J Weickert Signal Processing: Image Communication 46, 40-53, 2016 | 36 | 2016 |
| A proof-of-concept framework for PDE-based video compression S Andris, P Peter, J Weickert 2016 Picture Coding Symposium (PCS), 1-5, 2016 | 33 | 2016 |
| Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression P Peter, C Schmaltz, N Mach, M Mainberger, J Weickert Journal of Visual Communication and Image Representation 31, 253-265, 2015 | 32 | 2015 |
| Connections between numerical algorithms for PDEs and neural networks T Alt, K Schrader, M Augustin, P Peter, J Weickert Journal of Mathematical Imaging and Vision 65 (1), 185-208, 2023 | 29 | 2023 |
| Denoising by inpainting RD Adam, P Peter, J Weickert Scale Space and Variational Methods in Computer Vision: 6th International …, 2017 | 29 | 2017 |
| Diffusion-based inpainting for coding remote-sensing data N Amrani, J Serra-Sagristà, P Peter, J Weickert IEEE Geoscience and Remote Sensing Letters 14 (8), 1203-1207, 2017 | 25 | 2017 |
| Colour image compression with anisotropic diffusion P Peter, J Weickert 2014 IEEE International Conference on Image Processing (ICIP), 4822-4826, 2014 | 23 | 2014 |
| Compressing images with diffusion-and exemplar-based inpainting P Peter, J Weickert Scale Space and Variational Methods in Computer Vision: 5th International …, 2015 | 20 | 2015 |
| Learning sparse masks for diffusion-based image inpainting T Alt, P Peter, J Weickert Iberian Conference on Pattern Recognition and Image Analysis, 528-539, 2022 | 17 | 2022 |
| Optimising data for exemplar-based inpainting L Karos, P Bheed, P Peter, J Weickert Advanced Concepts for Intelligent Vision Systems: 19th International …, 2018 | 17 | 2018 |
| From optimised inpainting with linear PDEs towards competitive image compression codecs P Peter, S Hoffmann, F Nedwed, L Hoeltgen, J Weickert Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland …, 2016 | 17 | 2016 |
| Compressing flow fields with edge-aware homogeneous diffusion inpainting F Jost, P Peter, J Weickert ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 16 | 2020 |
| Fast inpainting-based compression: Combining Shepard interpolation with joint inpainting and prediction P Peter 2019 IEEE International Conference on Image Processing (ICIP), 3557-3561, 2019 | 15 | 2019 |
| Justifying tensor-driven diffusion from structure-adaptive statistics of natural images P Peter, J Weickert, A Munk, T Krivobokova, H Li Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015 | 15 | 2015 |
| Three-dimensional data compression with anisotropic diffusion P Peter Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 14 | 2013 |
| Inpainting-based video compression in FullHD S Andris, P Peter, R Mohideen Kaja Mohideen, J Weickert, S Hoffmann International Conference on Scale Space and Variational Methods in Computer …, 2021 | 12 | 2021 |
| Translating diffusion, wavelets, and regularisation into residual networks T Alt, J Weickert, P Peter arXiv preprint arXiv:2002.02753, 2020 | 12 | 2020 |
| Clustering-based quantisation for PDE-based image compression L Hoeltgen, P Peter, M Breuß Signal, Image and Video Processing 12, 411-419, 2018 | 12 | 2018 |
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityCorreu electrònic verificat a mia.uni-saarland.de
