An efficient motion adaptive de-interlacing algorithm using spatial and temporal filter

• Published in: TENCON 2011 - 2011 IEEE Region 10 Conference pp. 288 - 292
• Main Authors: Byounghyun Yoo, Byungsung Kim, Kwaehi Lee
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2011
• Subjects: Correlation; De-interlacing; Image edge detection; Interpolation; Motion adaptive; Motion detection; PSNR; Signal processing algorithms; Video sequences
• ISBN: 9781457702563; 1457702568
• ISSN: 2159-3442
• DOI: 10.1109/TENCON.2011.6129110

A motion adaptive de-interlacing algorithm is widely used for de-interlacing technique. Generally, a spatial method with edge dependent interpolation (EDI) algorithm shows better results than any other de-interlacing algorithms using single field in motion region and a temporal filter which is using multi field shows good results in stationary region. The motion adaptive method uses both a spatial and a temporal method. However, it also has problems with applying in high frequency image due to some artifacts. In this paper, we propose a de-interlacing algorithm with a motion adaptive method using EDI and temporal filter. The algorithm consists of an improved motion detection, EDI-based spatial filter, and vertical temporal filter (VTF). This algorithm produces a good visual performances in the case of fast moving objects and complex textures. PSNR shows.