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Pascal Peter
Pascal Peter
Tenured Lecturer, Mathematical Image Analysis Group, Saarland University
Verified email at mia.uni-saarland.de - Homepage
Title
Cited by
Cited by
Year
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 (3), 222-240, 2014
772014
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
432016
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
282016
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
262015
A proof-of-concept framework for PDE-based video compression
S Andris, P Peter, J Weickert
2016 Picture Coding Symposium (PCS), 1-5, 2016
202016
Colour image compression with anisotropic diffusion
P Peter, J Weickert
2014 IEEE International Conference on Image Processing (ICIP), 4822-4826, 2014
182014
Denoising by inpainting
RD Adam, P Peter, J Weickert
International Conference on Scale Space and Variational Methods in Computer …, 2017
172017
Compressing images with diffusion-and exemplar-based inpainting
P Peter, J Weickert
International Conference on Scale Space and Variational Methods in Computer …, 2015
172015
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
162017
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, 63-74, 2015
162015
Justifying tensor-driven diffusion from structure-adaptive statistics of natural images
P Peter, J Weickert, A Munk, T Krivobokova, H Li
International Workshop on Energy Minimization Methods in Computer Vision and …, 2015
132015
Optimising data for exemplar-based inpainting
L Karos, P Bheed, P Peter, J Weickert
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2018
122018
Three-dimensional data compression with anisotropic diffusion
P Peter
German Conference on Pattern Recognition, 231-236, 2013
112013
Clustering-based quantisation for PDE-based image compression
L Hoeltgen, P Peter, M Breuß
Signal, Image and Video Processing 12 (3), 411-419, 2018
92018
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
82019
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, 1-24, 2022
72022
Translating numerical concepts for pdes into neural architectures
T Alt, P Peter, J Weickert, K Schrader
International Conference on Scale Space and Variational Methods in Computer …, 2021
62021
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
62021
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
62020
Refined homotopic thinning algorithms and quality measures for skeletonisation methods
P Peter, M Breuß
Innovations for Shape Analysis, 77-92, 2013
62013
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