NDLI: Weighted Fuzzy Reasoning Scheme for Interlaced to Progressive Conversion

Content Provider	IEEE Xplore Digital Library
Author	Gwanggil Jeon Jongmin You Jechang Jeong
Copyright Year	1991
Abstract	Video deinterlacing can be realized using time-space interpolation filters. To improve video deinterlacing quality with respect to missing pixels on moving diagonal lines, we developed a fuzzy concept that utilizes deinterlacing methods. The proposed algorithm consists of three parts. The first part is fuzzy rule-assisted edge-preserving-based deinterlacing (FED), which has an edge-preserving unit that utilizes fuzzy theory to find the most accurate edge direction and interpolates the missing pixels. Using the introduced gradients in the interpolation, the vertical resolution in the deinterlaced image is subjectively concealed. The second part is weighted fuzzy-reasoning-assisted deinterlacing (WFD), which works in the spatio-temporal domain. In this part, the computed weights are considered and multiplied by the candidate deinterlaced pixels, which successively build approximations of the deinterlaced sequence. The third part of the proposed algorithm is weighted fuzzy switching filtering, which analyzes the suitability of each method on system performance and uses a switching algorithm between FED and WFD. The outcome of image interpolation can be adjusted continuously by varying the setting of the membership function for fuzzy inference. Compared with conventional image interpolation methods, the algorithm presented in this paper provides improved edge quality in the deinterlaced image without the introduction of evident artifacts.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	842
Ending Page	855
Page Count	14
File Size	2263259
File Format	PDF
ISSN	10518215
Volume Number	19
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy reasoning Interpolation Inference algorithms Filtering algorithms Filters Image resolution Fuzzy systems Performance analysis Algorithm design and analysis System performance motion adaptation Deinterlacing fuzzy weight image enhancement image restoration
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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