Inpainting in Image Coding

Summer Term 2016

(Main) Seminar: Inpainting in Image Coding

Sarah Schäffer, Prof. Joachim Weickert

Summer Term 2016

(Main) Seminar (2 h)

Notice for bachelor/master students of mathematics: This is a »Hauptseminar« in the sense of these study programs.

Author: P. Peter

Important DatesDescriptionRegistrationRequirementsIntroductory MeetingOverview of Topics

Introductory meeting (mandatory):
The introductory meeting will take place on Thursday, February 11, 2016, 4:15 p.m., in E1.7, Room 4.10.
In this meeting, we will assign the topics to the participants. Attendance is mandatory for all participants. Do not forget to register first (see below).

Regular meetings during the summer term 2016:
Tuesday, 4:15 p.m., in Building E1.7, Room 4.10

Contents: Classical methods for image coding such as JPEG usually rely on the idea to simplify information in the frequency domain of an image. In recent years these established methods have been challenged by a new class of algorithms: Inpainting methods try to exploit redundancies in the spatial domain, storing only a fraction of image data and interpolating missing pixels.
In this seminar, we will cover first ideas in this field up to state-of-the-art methods.

Prerequisites: The seminar is for advanced bachelor or master students in Visual Computing, Mathematics, or Computer Science. Basic mathematical knowledge (e.g. Mathematik für Informatiker I-III) is required, and some knowledge in image processing is recommended.

Language: All papers are written in English, and English is the language of presentation.

There are no more places left. The registration is closed.

Regular attendance: You must attend all seminar meetings, except for provable important reasons (medical certificate).

Talk: Talk duration is 30 min, plus 15 min for discussion. Please do not deviate from this time schedule.
You may give a presentation using a data projector, overhead projector or blackboard, or mix these media appropriately. Your presentation should be delivered in English. Your slides and your write-up, too, should be in English.

Write-up: The write-up has to be handed in until Friday, August 19, 2016, 23:59. The write-up should summarise your talk, about 5 pages per speaker will be adequate in most cases. Electronic submission is preferred. File format for electronic submissions is PDF – text processor files (like .doc) are not acceptable. Do not forget to hand in your writeup: Participants who do not submit a writeup cannot obtain the certificate for the seminar.

Plagiarism: Adhere to the standards of scientific referencing and avoid plagiarism: Quotations and copied material (such as images) must be clearly marked as such, and a bibliography is required. Otherwise the seminar counts as failed.

Mandatory consultation: Talk preparation has to be presented to your seminar supervisor no later than one week before the talk is given. It is your responsibility to approach us timely and make your appointment.

No-shows: No-shows are unfair to your fellow students: Some talks are based on previous talks, and your seminar place might have prevented the participation of another student. Thus, in case you do not appear to your scheduled talk (except for reasons beyond your control), we reserve the right to exclude you from future seminars of our group.

Participation in discussions: The discussions after the presentations are a vital part of this seminar. This means that the audience (i.e. all paricipants) poses questions and tries to find positive and negative aspects of the proposed idea. This participation is part of your final grade.

Being in time: To avoid disturbing or interrupting the speaker, all participants have to be in the seminar room in time. Participants that turn out to be regularly late must expect a negative influence on their grade.

We will discuss the following papers. If your registration was successful, the password will be sent to you before the first meeting.

No.   Date   Advisor Speaker Paper
1 03/05 Weickert Michaël Noël Divo
S. Carlsson: Sketch Based Coding of Grey Level Images.
2 03/05 Schäffer Merlin Köhler
M. Mainberger, A. Bruhn, J. Weickert, S. Forchhammer: Edge-Based Compression of Cartoon-Like Images with Homogeneous Diffusion.
3 10/05 Weickert Amina Durakovic
S. Hoffmann, M. Mainberger, J. Weickert, M. Puhl: Compression of Depth Maps with Segment-Based Homogeneous Diffusion.
4 10/05 Schäffer Syed Safayet Karim
M. Mainberger, S. Hoffmann, J. Weickert, C. H. Tang, D. Johannsen, F. Neumann, B. Doerr: Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting.
5 17/05 Schäffer Umangathan Kandasamy
L. Hoeltgen, S. Setzer, J. Weickert: An Optimal Control Approach to Find Sparse Data for Laplace Interpolation.
6 17/05 Weickert Abhishek Goswami
L. Hoeltgen, J. Weickert: Why Does Non-Binary Mask Optimisation Work for Diffusion-Based Image Compression?
7 24/05 Schäffer Marimuthu Kalimuthu
Y. Chen, R. Ranftl, T. Pock: A Bi-Level View of Inpainting-Based Image Compression.
8 24/05 Schäffer Sumit Shekhar
R. Distasi et al. Image Compression by B-Tree Triangular Coding
9 31/05 Weickert Shilpa Guruprasad
L. Demaret et al. Image Compression by Linear Splines over Adaptive Triangulations
10 31/05 Weickert Damaris Gatzsche
I. Galic, J. Weickert, M. Welk, A. Bruhn, A. Belyaev, H.-P. Seidel: Image Compression with Anisotropic Diffusion.
11 07/06 Schäffer Max Augustin
C. Schmaltz, P. Peter, M. Mainberger, F. Ebel, J. Weickert, A. Bruhn: Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.
12 07/06 Weickert Kireeti Bodduna
P. Peter, S. Hoffmann, F. Nedwed, L. Hoeltgen, J. Weickert: Evaluating the True Potential of Diffusion-Based Inpainting in a Compression Context.
13 14/06 Weickert Shrey Sharma
P. Peter, C. Schmaltz, N. Mach, M. Mainberger, J. Weickert: Beyond Pure Quality: Progressive Modes, Region of Interest Coding, and Real Time Video Decoding for PDE-Based Image Compression.
14 14/06 Schäffer Janis Sprenger
P. Peter, L. Kaufhold, J. Weickert: Turning Diffusion-based Image Colorization into Efficient Color Compression.
15 omitted
G. Facciolo et al. Exemplar-Based Interpolation of Sparsely Sampled Images
16 21/06 Schäffer Pragya Pande
P. Peter, J. Weickert: Compressing Images with Diffusion- and Exemplar-Based Inpainting.
17 21/06 Weickert Pinak Bheed
G. Di Blasi, E. Francomano, A. Tortorici, E. Toscano: A Smoothed Particle Image Reconstruction Method
18 28/06 Schäffer Ganesh Murugan
S. Hoffmann, G. Plonka, J. Weickert: Discrete Green's Functions for Harmonic and Biharmonic Inpainting with sparse atoms.

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