Applying the CDHS to improve the MAP-based algorithm in super resolution reconstruction from sequences

Hsi Kuan Chen, Chin-Hsing Chen, Shih Jen Wang

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

Abstract

Based on the Huber-Markov random field (HMRF), this paper adopts the cross-diamond-hexagonal search (CDHS) blocking-matching algorithm to promote the speed of motion estimation in the maximum a posteriori (MAP)-based super resolution (SR) reconstruction. A block-wised motion vector selection (MVS) strategy is proposed to eliminate the unqualified motion vectors due to occlusion occurred in motion estimation so as to strengthen the reliability of the suboptimal solutions and get a better reconstruction. The experimental results show that the proposed algorithm can save about 2/3 computation time while provides the same reconstruction quality compared to that adopting the full search (FS) blocking-matching algorithm.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages499-502
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
Duration: 2007 Nov 262007 Nov 28

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume2

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
Country/TerritoryTaiwan
CityKaohsiung
Period07-11-2607-11-28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management

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