Concept of Linguistic Variable-Based Fuzzy Ensemble Approach: Application to Interlaced HDTV Sequences

This paper addresses the problem of edge restoration in digital images. Taking advantage of an ensemble approach, multiple type-1 fuzzy filters are combined to reach a decision. The fuzzy logic concept for linguistic variables and possibility theory is discussed with regard to knowledge representati...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems Vol. 17; no. 6; pp. 1245 - 1258
Main Authors: Gwanggil Jeon, Anisetti, M., Joohyun Lee, Bellandi, V., Damiani, E., Jechang Jeong
Format: Journal Article
Language:English
Published: New York IEEE 01.12.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Deinterlacing
Design engineering
Filters
Fuzzy
fuzzy ensemble approach
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Fuzzy systems
fuzzy weight (FW)
HDTV
Humans
Image restoration
Information technology
Interpolation
linguistic variable
Linguistics
Mathematical models
Pixels
Spatiotemporal phenomena
Studies
type-1 fuzzy system
ISSN:1063-6706, 1941-0034
Online Access:Get full text
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Summary:This paper addresses the problem of edge restoration in digital images. Taking advantage of an ensemble approach, multiple type-1 fuzzy filters are combined to reach a decision. The fuzzy logic concept for linguistic variables and possibility theory is discussed with regard to knowledge representation and inference procedures. To improve conventional deinterlacing issues, we adopt type-1 fuzzy set concepts to design a weight-measuring approach. We demonstrate that the fuzzy ensemble approach model is well suited to image processing and provide case studies in the video-deinterlacing field. In our proposed method, five fuzzy membership functions (MFs) of linguistic variable-based fuzzy logic filters are derived from the type-1 (a.k.a. ordinary or primary) fuzzy MF. The weight-measuring process of our proposed model is used to assign weights to six candidate deinterlaced pixels (CDPs) that are interpolated according to edge direction. The use of a different MF for each direction allows the filter to characterize each pixel variation influence independently, according to its direction. The weights from all MFs are multiplied with the CDPs. The results of the empirical trials clearly show that the proposed system can successfully deal with several image types containing motion or detail elements.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2009.2026638