Title :
Adaptive video de-interlacing algorithm by motion characteristic detection
Author :
Tsai, Chia-Na ; Wu, Ming-Te ; Yeh, Chia-Hung ; Chen, Mei-Juan ; Chang, Hsuan-Ting
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
Abstract :
In this paper, an adaptive video de-interlacing algorithm based on motion characteristics detection jointly considering the advantages of three existing schemes is proposed. In the proposed method, the difference of the previous field pixels and the current field pixels are calculated. The fast or slow of the motion of the current frame is determined by the difference of the previous and the current field pixels. Afterwards, the appropriate scheme such as the weave, line average or edge line average de-interlacing schemes is selected and performed on the selected field. Through the proposed algorithms, the performance of the proposed method in terms of subjective and objective qualities can be significantly improved.
Keywords :
edge detection; image motion analysis; video signal processing; adaptive video deinterlacing algorithm; edge line average deinterlacing scheme; image motion characteristic detection; Bandwidth; Computer science; Humans; Interpolation; Liquid crystal displays; Motion detection; PSNR; Spatial resolution; Video sequences; Visual system; ELA; LA; motion detection; video deinterlacing; weave;
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
DOI :
10.1109/ISCAS.2009.5118484