By Topic

An Edge-Based Median Filtering Algorithm with Consideration of Motion Vector Reliability for Adaptive Video Deinterlacing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Qian Huang ; Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China; Graduate School of the Chinese Academy of Sciences, Beijing 100039, China. ; Wen Gao ; Debin Zhao ; Qingming Huang

Because of its ability to preserve signal edges while filtering out impulsive noises, median filtering is widely used in signal processing applications, e.g. deinterlacing. An edge-based median filtering (EMF) algorithm is proposed for adaptive deinterlacing. A criterion of motion vector reliability (MVR) is also introduced for better interpolation. For each motion compensated block, two motion vectors between opposite-parity fields and one between same-parity fields are taken into account. Experiments show that the proposed MVR and EMF are both very efficient. Outputs of the proposed EMF are much more similar to original progressive videos than those of objectively best EMF methods nowadays, without obvious visual distortions. Finally, the proposed EMF and MVR criterion are shown to be suitable for texture-based adaptive deinterlacing

Published in:

2006 IEEE International Conference on Multimedia and Expo

Date of Conference:

9-12 July 2006