You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
1 April 2008Interlaced-to-progressive conversion using adaptive projection-based global and representative local motion estimation
We propose a motion-compensation-based deinterlacing
algorithm using global and representative local motion estimation.
The proposed algorithm first divides an entire image into five regions
of interest (ROIs) according to the temporally predicted motion type
(i.e., global or local) and the spatial position. One of them is for
global motion estimation and the others are for local motion estimation.
Then, dominant motions of respective ROIs are found by adaptive
projection approach. The adaptive projection method not only
estimates dominant local motions with low computational cost, but
also ensures consistent global motion estimation. Using the estimated
motion vectors, adaptive two-field bidirectional motion compensation
is performed. The arbitration rules, measuring the reliability
of motion compensation accurately, produce high-quality
deinterlaced frames by effectively combining the results of motion
compensation and the stable intrafield deinterlacing. Experimental
results show that the proposed deinterlacing algorithm provides better
image quality than the existing algorithms in both subjective and
objective measures.
The alert did not successfully save. Please try again later.
Young Duk Kim, Joonyoung Chang, Gun Shik Shin, Moon Gi Kang, "Interlaced-to-progressive conversion using adaptive projection-based global and representative local motion estimation," J. Electron. Imag. 17(2) 023008 (1 April 2008) https://doi.org/10.1117/1.2938998