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Directional Deinterlacing Method Using Local Gradient Features  

Woo, Dong-Hun (TN business Samsung Electronics Co., LTD.)
Eom, Il-Kyu (Dept. of Information and Communications, Miryang National University)
Kim, Yoo-Shin (Research Institute of Computer and Info9rmation and Communictaion)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.5, 2005 , pp. 41-46 More about this Journal
Abstract
Deinterlacing is the conversion from interlaced to progressive scan image that is considered to be 2 times image interpolation. In this paper, the simple and effective deinterlacing method is proposed based on the local gradient information of neighborhood pixels. In the proposed method, the weights for directions around the pixel to be interpolated are estimated, and the weighted sum for the neighborhood pixels is the final intensity value of the pixel to be interpolated. The proposed method has the structure suitable to practical implementation and can avoid the artifacts due to the wrong detection of edge direction. In the simulation, it showed improved subjective and objective performance than the ELA method and comparable performance compared with the variation of ELA method which has more complex structure and requires a couple of parameters that is determined by experience.
Keywords
deinterlacing; ELA; Gradient;
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