INCOVID SIGNED
Inpainting-based Compression of Visual Data
Total Cost €
0EC-Contrib. €
0Partnership
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0INCOVID project word cloud
Explore the words cloud of the INCOVID project. It provides you a very rough idea of what is the project "INCOVID" about.
Project "INCOVID" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITAT DES SAARLANDES
Organization address contact info |
| Coordinator Country | Germany [DE] |
| Total cost | 2˙460˙000 € |
| EC max contribution | 2˙460˙000 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2016-ADG |
| Funding Scheme | ERC-ADG |
| Starting year | 2017 |
| Duration (year-month-day) | from 2017-10-01 to 2022-09-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITAT DES SAARLANDES | DE (SAARBRUCKEN) | coordinator | 2˙460˙000.00 |
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Project objective
Generating huge amounts of visual data, be it images or videos, has never been easier than today. This creates a growing demand for lossy codecs (coders and decoders) that produce visually convincing results also for very high compression rates. Popular transform-based codecs such as JPEG and JPEG 2000 have reached a state where one cannot expect significant improvements anymore. To go beyond their limitations, fundamentally different ideas are needed.
Inpainting-based codecs can change this situation. They store only a small, carefully optimised part of the data. In the decoding step, the missing information is filled in with a suitable inpainting mechanism. A successful realisation of inpainting-based codecs can offer decisive advantages over transform-based codecs: The stored information is more intuitive and closer to the mechanisms of human perception. Moreover, the concept is very flexible: It allows to integrate a number of different features and can be tailored towards dedicated applications. Most importantly, the higher the compression rate, the larger are the qualitative advantages over transform-based codecs.
However, the potential of these codecs is widely unexplored so far, since difficult fundamental problems must be solved first. This includes optimisation of the data and the inpainting process, sophisticated data coding, and the design of real-time capable sequential and parallel numerical algorithms. We are committed to addressing all these challenges in an integrated approach: We cover the entire spectrum from its theoretical foundations over benchmarking and highly efficient numerical algorithms to codecs for specific applications, and a real-time 4K video player as demonstrator.
This will lift inpainting methods from a visually pleasant image editing tool to a fundamental paradigm in coding. Research results that enter forthcoming coding standards will also have an impact on everybody's daily life.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
Leif Bergerhoff, Marcello Cardenas, Joachim Weickert, Martin Welk Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints published pages: 409-423, ISSN: , DOI: |
Lecture Notes in Computer Science Vol. 10746 | 2019-08-05 |
| 2018 |
Martin Fuchs, Jan Müller, Christian Tietz, Joachim Weickert Convex Regularization of Multi-Channel Images Based on Variants of the TV-Model published pages: 976-995, ISSN: 1747-6933, DOI: |
Complex Variables and Elliptic Equations Vol. 63, No. 7-8 | 2019-08-05 |
| 2019 |
Bergerhoff, Leif; Weickert, Joachim; Dar, Yehuda Algorithms for Piecewise Constant Signal Approximations published pages: , ISSN: , DOI: |
arXiv Preprint, submitted to the EUSIPCO 2019 conference 1 | 2019-08-05 |
| 2019 |
J. A. Tómasson, P. Ochs, J. Weickert AFSI: Adaptive restart for fast semi-iterative schemes for convex optimisation published pages: 669-681, ISSN: , DOI: |
Lecture Notes in Computer Science Vol. 11269 | 2019-08-05 |
| 2018 |
Martin Welk, Joachim Weicker, Guy Gilboa A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering published pages: 13991426, ISSN: 1573-7683, DOI: |
Journal of Mathematical Imaging and Vision Vol. 60, No. 9 | 2019-08-05 |
| 2018 |
Lena Karos, Pinak Bheed, Pascal Peter, and Joachim Weickert Optimising Data for Exemplar-based Inpainting published pages: 547–558, ISSN: , DOI: |
Lecture Notes in Computer Science Vol. 11182 | 2019-08-05 |
| 2019 |
Bergerhoff, Leif; Cárdenas, Marcelo; Weickert, Joachim; Welk, Martin Stable Backward Diffusion Models that Minimise Convex Energies published pages: , ISSN: , DOI: |
arXiv, to be submitted to Journal of Mathematical Imaging and Vision 1 | 2019-08-05 |
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