Feature preserving bidirectional fuzzy flow for image sharpening

Shu Jun Fu; Qiu Qi Ruan; Cheng Po Mu; Wen Qia Wang

Feature preserving bidirectional fuzzy flow for image sharpening

Shu Jun Fu^*, Qiu Qi Ruan, Cheng Po Mu, Wen Qia Wang

^*Corresponding author for this work

School of Mechatronical Engineering

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

2 Citations (Scopus)

Abstract

In this paper, we propose a bidirectional fuzzy flow framework based on fuzzy sets, which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote lines (edges), while a certain forward diffusion along the tangent direction on the contrary. To preserve the natural transition of image features, the eigenvalues of local image structure tensor are used to detect different features, which are sharpened correspondingly.

Original language	English
Pages (from-to)	2172-2175
Number of pages	4
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	35
Issue number	11
Publication status	Published - Nov 2007

Keywords

Direction-selective diffusion
Edge sharpening
Fuzzy sets
Image enhancement
Structure tensor

Cite this

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title = "Feature preserving bidirectional fuzzy flow for image sharpening",

abstract = "In this paper, we propose a bidirectional fuzzy flow framework based on fuzzy sets, which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote lines (edges), while a certain forward diffusion along the tangent direction on the contrary. To preserve the natural transition of image features, the eigenvalues of local image structure tensor are used to detect different features, which are sharpened correspondingly.",

keywords = "Direction-selective diffusion, Edge sharpening, Fuzzy sets, Image enhancement, Structure tensor",

author = "Fu, {Shu Jun} and Ruan, {Qiu Qi} and Mu, {Cheng Po} and Wang, {Wen Qia}",

year = "2007",

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T1 - Feature preserving bidirectional fuzzy flow for image sharpening

AU - Fu, Shu Jun

AU - Ruan, Qiu Qi

AU - Mu, Cheng Po

AU - Wang, Wen Qia

PY - 2007/11

Y1 - 2007/11

N2 - In this paper, we propose a bidirectional fuzzy flow framework based on fuzzy sets, which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote lines (edges), while a certain forward diffusion along the tangent direction on the contrary. To preserve the natural transition of image features, the eigenvalues of local image structure tensor are used to detect different features, which are sharpened correspondingly.

AB - In this paper, we propose a bidirectional fuzzy flow framework based on fuzzy sets, which performs a fuzzy backward (inverse) diffusion along the gradient direction to the isophote lines (edges), while a certain forward diffusion along the tangent direction on the contrary. To preserve the natural transition of image features, the eigenvalues of local image structure tensor are used to detect different features, which are sharpened correspondingly.

KW - Direction-selective diffusion

KW - Edge sharpening

KW - Fuzzy sets

KW - Image enhancement

KW - Structure tensor

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M3 - Article

AN - SCOPUS:38349063594

SN - 0372-2112

VL - 35

SP - 2172

EP - 2175

JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

IS - 11

ER -

Feature preserving bidirectional fuzzy flow for image sharpening

Abstract

Keywords

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