Image Enlargement Using Repetitive Component Multiplication

Zhengzhe Liu, Xiaojuan Qi, Bin Sheng, Wen Wu, Ping Li, Lizhuang Ma

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Efficient and effective image enlargement without distortion attracts numerous interests these days. This paper presents an image enlargement system for images with repetitive components. Based on repetitive components and seam filling, our system achieves distortion-free visual effect. Our system captures and extracts the repetitive components by MSERs. After which, we got the repetitive component (RC) regions and non-repetitive component (NRC) regions. In order to deal with the different characteristics of these two regions, we intuitively incorporated two different algorithms: patch-based texture synthesis for RC regions and in painting for NRC regions. To achieve seamlessness filling, we lastly smooth the boundary between the filled regions and its surroundings by multi-resolution. Our system shows great success in enlarging image with repetitive components.

Original languageEnglish
Title of host publicationProceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014
EditorsXukun Shen, Xiaopeng Zhang, Zhong Zhou, Guodong Zhang, Xun Luo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages333-338
Number of pages6
ISBN (Electronic)9781479968541
DOIs
Publication statusPublished - 28 Sep 2015
Externally publishedYes
EventInternational Conference on Virtual Reality and Visualization, ICVRV 2014 - Shenyang, China
Duration: 30 Aug 201431 Aug 2014

Publication series

NameProceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014

Conference

ConferenceInternational Conference on Virtual Reality and Visualization, ICVRV 2014
CountryChina
CityShenyang
Period30/08/1431/08/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition

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