Abstract
We propose a robust de-interlacing algorithm which combines edge dependent interpolation (EDI) and global motion compensation (GMC). Generally, the EDI algorithm shows a visually better performance than any other de-interlacing algorithm using one field. However, due to the restricted information in one field, a high quality progressive image from interlaced sources cannot be acquired by intrafield methods. Hence, the proposed algorithm makes use of a process of mixing EDI and GMC. In order to obtain the best result, an adaptive thresholding algorithm for detecting the failure of GMC is proposed. Experimental results indicate that the proposed algorithm outperforms conventional approaches with respect to both objective and subjective criteria.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
