NDLI: Covariance-based adaptive deinterlacing method using edge map

Content Provider	IEEE Xplore Digital Library
Author	Sang-Jun Park Gwanggil Jeon Jechang Jeong
Copyright Year	2010
Description	Author affiliation: School of Information Technology and Engineering (SITE), University of Ottawa, Ontario, Canada (Gwanggil Jeon) \|\| Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea (Sang-Jun Park; Jechang Jeong)
Abstract	The purpose of this article is to discuss deinterlacing results in a computationally constrained and varied environment. The proposed covariance-based adaptive deinterlacing method using edge map (CADEM) consists of two methods: the modified edge-based line averaging (MELA) method for plain regions and the covariance-based adaptive deinterlacing (CAD) method along the edges. The proposed CADEM uses the edge map of the interlaced input image for assigning the appropriate method between MELA and the modified CAD (MCAD) methods. We first introduce the MCAD method. The principle idea of the MCAD is based on the correspondence between the high-resolution covariance and the low-resolution covariance. The MCAD estimates the local covariance coefficients from an interlaced image using Wiener filtering theory and then uses these optimal minimum mean squared error interpolation coefficients to obtain a deinterlaced image. However, the MCAD method, though more robust than most known methods, was not found to be very fast compared with the others. To alleviate this issue, we propose an adaptive selection approach rather than using only one MCAD algorithm. The proposed hybrid approach of switching between the MELA and MCAD is proposed to reduce the overall computational load. A reliable condition to be used for switching the schemes is established by the edge map composed of binary image. The results of computer simulations showed that the proposed methods outperformed a number of methods presented in the literature.
Starting Page	166
Ending Page	171
File Size	1153015
Page Count	6
File Format	PDF
ISBN	9781424472475
ISSN	2154512X
e-ISBN	9781424472499
DOI	10.1109/IPTA.2010.5586741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Interpolation Covariance-based interpolation PSNR Design automation Wiener filter Image edge detection Edge map Pixel Image interpolation Deinterlacing
Content Type	Text
Resource Type	Article

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