A low-complexity intra-field restoring method for interlaced image

Fu Jhong Yang, Pei Yin Chen, Chih Yuan Lien, Ching Chieh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a low-complexity intra-field restoring method for interlaced image is presented. We employ an edge detector to recognize the edge direction of each processing position, and observing the pixel correlation and edge information. To reduce the computational complexity, we use intra-field de-interlacing method. Extensive experimental results demonstrate that our design achieved excellent performance in quantitative evaluation and visual quality than other image restoring techniques. The proposed algorithm has a simple computation structure. Therefore, it is suitable for real-time hardware implementation.

Original languageEnglish
Title of host publicationProceedings of 2017 International Conference on Video and Image Processing, ICVIP 2017
PublisherAssociation for Computing Machinery
Pages109-112
Number of pages4
ISBN (Electronic)9781450353830
DOIs
Publication statusPublished - 2017 Dec 27
Event2017 International Conference on Video and Image Processing, ICVIP 2017 - Singapore, Singapore
Duration: 2017 Dec 272017 Dec 29

Publication series

NameACM International Conference Proceeding Series

Other

Other2017 International Conference on Video and Image Processing, ICVIP 2017
CountrySingapore
CitySingapore
Period17-12-2717-12-29

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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