A motion and edge adaptive deinterlacing algorithm

Autor:	F.J. Chang, Shen-Chuan Tai, C.S. Yu
Rok vydání:	2005
Předmět:	Motion compensation Motion analysis Pixel Computer science Orientation (computer vision) business.industry Feature extraction Video quality Edge detection Deinterlacing Distortion Motion estimation Computer vision Artificial intelligence business Algorithm Interpolation
Zdroj:	ICME
DOI:	10.1109/icme.2004.1394278
Popis:	A motion adaptive and the edge-based deinterlacing algorithm is proposed in this paper. Pixels in a field are divided into two regions: static region and moving region. Inter-field interpolation is performed on the static region; intra-field edge based deinterlacing methods are used on the moving region. To estimate the correct interpolation orientation, edge detection is performed on the moving region pixels. The moving region is further classified into four areas that are subjected to different appropriate interpolation methods with quarter-pel accuracy. Experimental results show that the proposed technique can produce high quality video, and the computational complexity is acceptable for consumer electronic applications
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2029b702d8fdb3270bed54cd1a2f824f https://doi.org/10.1109/icme.2004.1394278 Zobrazit plný text záznamu