Minimum spanning tree filters for edge-preserving impulse noise removal

Kohei Inoue; Kenji Hara; Kiichi Urahama

doi:10.3169/itej.66.J287

Minimum spanning tree filters for edge-preserving impulse noise removal

Kohei Inoue, Kenji Hara, Kiichi Urahama

Research output: Contribution to journal › Article › peer-review

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Abstract

We propose edge-preserving smoothing (EPS) filters based on minimum spanning trees (MSTs) on image planes. The shape of the filter window is adaptively determined for each pixel by the MST, which avoids stepping over edges in images. Experimental results showed that the proposed MST filters can remove impulse noise better than conventional EPS filters.

Original language	English
Pages (from-to)	J287-J289
Journal	Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume	66
Issue number	8
DOIs	https://doi.org/10.3169/itej.66.J287
Publication status	Published - 2012

All Science Journal Classification (ASJC) codes

Media Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.3169/itej.66.J287

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title = "Minimum spanning tree filters for edge-preserving impulse noise removal",

abstract = "We propose edge-preserving smoothing (EPS) filters based on minimum spanning trees (MSTs) on image planes. The shape of the filter window is adaptively determined for each pixel by the MST, which avoids stepping over edges in images. Experimental results showed that the proposed MST filters can remove impulse noise better than conventional EPS filters.",

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year = "2012",

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AU - Hara, Kenji

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AB - We propose edge-preserving smoothing (EPS) filters based on minimum spanning trees (MSTs) on image planes. The shape of the filter window is adaptively determined for each pixel by the MST, which avoids stepping over edges in images. Experimental results showed that the proposed MST filters can remove impulse noise better than conventional EPS filters.

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ER -

Minimum spanning tree filters for edge-preserving impulse noise removal

Abstract

All Science Journal Classification (ASJC) codes

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