Title :
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
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);
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.253
