A fast and stable superresolution reconstruction method for compressed video sequences

Hsi Kuan Chen, Chin Hsing Chen, Shih Jen Wang

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

1 Citation (Scopus)

Abstract

This paper proposed a superresolution (SR) reconstruction method by combining the Cross- Diamond-Hexagonal Search (CDHS) block-matching algorithm (BMA) and the simple block-wise motion vector selection (BWMVS) strategy to obtain stable and high quality reconstruction results. The experimental results showed that the reconstruction quality of CDHS BMA is comparable with full search BMA but the computation time is greatly reduced. The occlusion including a scene change that severely damages the quality of the reconstructed video sequence in SR is effectively removed through the incorporation of the BWMVS in our reconstruction method. The stability due to BWMVS was verified by the reconstruction results using the standard interpolations.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages358-362
Number of pages5
DOIs
Publication statusPublished - 2008
Event8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan
Duration: 2008 Nov 262008 Nov 28

Publication series

NameProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Volume3

Other

Other8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Country/TerritoryTaiwan
CityKaohsiung
Period08-11-2608-11-28

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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