A Fast and Stable Superresolution Reconstruction Method for Compressed Video Sequences

Author

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

Author_Institution

Inst. of Comput. & Commun., Nat. Cheng Kung Univ., Tainan

Volume

3

fYear

2008

Firstpage

358

Lastpage

362

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.

Keywords

data compression; image matching; image motion analysis; image reconstruction; image resolution; image sequences; maximum likelihood estimation; search problems; video coding; Bayesian maximum a posteriori estimation; block-matching algorithm; block-wise motion vector selection strategy; compressed video sequence; cross diamond hexagonal search; superresolution reconstruction method; Image coding; Image reconstruction; Image resolution; Layout; Motion estimation; Reconstruction algorithms; Spatial resolution; Stability; Strontium; Video sequences; Cross-Diamond-Hexagonal Search (CDHS); block-wise motion vector selection (BWMVS); superresolution (SR);

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-3382-7

Type

conf

DOI

10.1109/ISDA.2008.253

Filename

4696490