Title :
High performance deinterlacing using spatially registered vertical-temporal filtering
Author :
Lee, Kwon ; Lee, Chulhee
Author_Institution :
Yonsei Univ., Seoul, South Korea
Abstract :
In this paper, we propose a high performance deinterlacing method using vertical-temporal filtering with spatial registration. The vertical-temporal filtering method performs compares favorably with existing deinterlacing methods with low computational complexity. However, it produces undesired artifacts in motion scenes since it assumes constant frame differences. By applying vertical-temporal filtering after spatial registration, we can reduce deinterlacing artifacts. To reduce computational complexity for the spatial registration, we use sub-sampled pixels. Experimental results show that the proposed method improves video quality in terms of subjective and objective evaluations.
Keywords :
computational complexity; filtering theory; image motion analysis; image registration; image sampling; image sequences; video signal processing; computational complexity; constant-frame differences; deinterlacing artifact reduction; high-performance deinterlacing method; motion scenes; objective evaluation; spatial registration; subjective evaluation; subsampled pixels; vertical-temporal filtering; video quality; Computational complexity; Correlation; Filtering; Motion estimation; PSNR; Strontium; Video sequences;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161989