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Artifact-Free Color Interpolation
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, Faculty of Science & Engineering.
2015 (English)In: Proceedings SCCG: 2015 31st Spring Conference on Computer Graphics, ASSOC COMPUTING MACHINERY , 2015, p. 116-119Conference paper, Published paper (Refereed)
Abstract [en]

Color interpolation is still the most used method for image upsampling, since it offers the simplest and therefore fastest algorithms. However, in recent years research concentrated on other techniques to counter the shortcomings of interpolation techniques (like color artifacts or the fact that interpolation does not take statistics into account), while interpolation itself has ceased to be an active research topic. Still, current interpolation techniques can be improved. Especially it should be possible to avoid color artifacts by carefully choosing the correct interpolation schemes. In this paper we derive mathematical constraints which need to be fulfilled to reach an artifact-free interpolation, and use these to develop an interpolation method which is basically a self-configuring cubic spline.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2015. p. 116-119
Keywords [en]
interpolation; image upsampling; color interpolation
National Category
Discrete Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-131252DOI: 10.1145/2788539.2788556ISI: 000380609300017ISBN: 978-1-4503-3693-2 (print)OAI: oai:DiVA.org:liu-131252DiVA, id: diva2:971470
Conference
31st Spring Conference on Computer Graphics
Available from: 2016-09-16 Created: 2016-09-12 Last updated: 2019-11-19
In thesis
1. Interpolation Techniques with Applications in Video Coding
Open this publication in new window or tab >>Interpolation Techniques with Applications in Video Coding
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Recent years have seen the advent of RGB+D video (color+depth video), which enables new applications like free-viewpoint video, 3D and virtual reality. This is however achieved by adding additional data, thus increasing the bitrate. On the other hand, the added geometrical data can be used for more accurate frame prediction, thus decreasing bitrate. Modern encoders use previously decoded frames to predict other ones, meaning they only need to encode the difference. When geometrical data is available, previous frames can instead be projected to the frame that is currently predicted, thus reaching a higher accuracy and a higher compression.

In this thesis, different techniques are described and evaluated enabling such a prediction scheme based on projecting from depth-images, so called depth-image based rendering (DIBR). A DIBR method is found that maximizes image quality, in terms of minimizing the differences of the projected frame to the groundtruth of the frame it was projected to, i.e. the frame that is to be predicted. This was achieved by evaluating combinations of both state-of-the-art methods for DIBR as well as own extensions, meant to solve artifacts that were discovered during this work. Furthermore, a real-time version of this DIBR method is derived and, since the deph-maps will be compressed as well, the impact of depth-map compression on the achieved projection quality is evaluated, for different compression methods including novel extensions of existing methods. Finally, spline methods are derived for both geometrical and color interpolation.

Although all this was done with a focus on video compression, many of the presented methods are useful for other applications as well, like free-viewpoint video or animation.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2019. p. 38
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1858
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:liu:diva-162116 (URN)9789179299514 (ISBN)
Presentation
2019-12-09, Ada Lovelace, Campus Valla, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2019-11-19 Created: 2019-11-19 Last updated: 2019-12-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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