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Mathematical Problems in Engineering
Volume 2014, Article ID 972540, 8 pages
Research Article

An Interfield and Intrafield Weighted Interpolative Deinterlacing Algorithm Based on Low-Angle Detection and Multiangle Extraction

1School of Computer Information and Engineering, Anhui Polytechnic University, Wuhu 241000, China
2Department of Electrical Engineering, Anhui Technical College of Mechanical and Electrical Engineering, Wuhu 241000, China

Received 15 April 2014; Revised 30 June 2014; Accepted 6 July 2014; Published 12 August 2014

Academic Editor: Qingsong Xu

Copyright © 2014 Jun Qiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the process of converting interlaced scanning to progressive scanning, interline flickers, saw-tooth, and creeping could be found in motion images. This paper proposes an interfield and intrafield weighted interpolative algorithm based on low-angle detection and multiangle extraction. Using interframe difference of vertical edge area in current field and interfield difference of other areas as the input of motion detection, incorrect judgment could be avoided by four-fields motion detection so that static and motive image can be distinguished. Based on the motion image from the motion detection, multipixels are used in low-angle horizontal detection to extract higher correction angles so as to make interfield and intrafield weighted interpolation. The experiment results show that the proposed algorithm could improve peak signal-to-noise ratio (PSNR), restrain some interlace phenomenon, and reach better visual effects. Meanwhile, there is a good balance between efficiency and computation cost.