2 May 2012 Deinterlacing algorithm with an advanced non-local means filter
Jin Wang, Jechang Jeong, Gwanggil Jeon
Author Affiliations +
Abstract
The authors introduce an efficient intra-field deinterlacing algorithm using an advanced non-local means filter. The non-local means (NLM) method has received considerable attention due to its high performance and simplicity. The NLM method adaptively obtains the missing pixel by the weighted average of the gray values of all pixels within the image, and then automatically eliminates unrelated neighborhoods from the weighted average. However, spatial location distance is another important issue for the deinterlacing method. Therefore we introduce an advanced NLM (ANLM) filter while consider neighborhood similarity and patch distance. Moreover, the search region of the conventional NLM is the whole image, while, the ANLM can just utilize the limited search region and achieve good performance and high efficiency. When compared with existing deinterlacing algorithms, the proposed algorithm improves the peak signal-to-noise-ratio while maintaining high efficiency.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Jin Wang, Jechang Jeong, and Gwanggil Jeon "Deinterlacing algorithm with an advanced non-local means filter," Optical Engineering 51(4), 047009 (2 May 2012). https://doi.org/10.1117/1.OE.51.4.047009
Published: 2 May 2012
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image filtering

Visualization

Filtering (signal processing)

Image quality

Image resolution

Optical engineering

Optical filters

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