Edge-detected guided morphological filter for image sharpening

T.A. Mahmoud Mohamed, S. Marshall

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A new edge-guided morphological filter is proposed to sharpen digital images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition, gradient-based operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the performance of these detected edge deblurring filters is superior to that of other sharpener-type filters.
LanguageEnglish
Number of pages9
JournalEURASIP Journal on Image and Video Processing
Volume2008
Issue number970353
DOIs
Publication statusPublished - 4 Feb 2009

Fingerprint

Decomposition

Keywords

  • edge-detected
  • image sharpening
  • morphological filter

Cite this

@article{4df560080b634a05b0735a2f85197809,
title = "Edge-detected guided morphological filter for image sharpening",
abstract = "A new edge-guided morphological filter is proposed to sharpen digital images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition, gradient-based operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the performance of these detected edge deblurring filters is superior to that of other sharpener-type filters.",
keywords = "edge-detected, image sharpening, morphological filter",
author = "{Mahmoud Mohamed}, T.A. and S. Marshall",
year = "2009",
month = "2",
day = "4",
doi = "10.1155/2008/970353",
language = "English",
volume = "2008",
journal = "EURASIP Journal on Image and Video Processing",
issn = "1687-5176",
number = "970353",

}

Edge-detected guided morphological filter for image sharpening. / Mahmoud Mohamed, T.A.; Marshall, S.

In: EURASIP Journal on Image and Video Processing, Vol. 2008, No. 970353, 04.02.2009.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Edge-detected guided morphological filter for image sharpening

AU - Mahmoud Mohamed, T.A.

AU - Marshall, S.

PY - 2009/2/4

Y1 - 2009/2/4

N2 - A new edge-guided morphological filter is proposed to sharpen digital images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition, gradient-based operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the performance of these detected edge deblurring filters is superior to that of other sharpener-type filters.

AB - A new edge-guided morphological filter is proposed to sharpen digital images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition, gradient-based operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the performance of these detected edge deblurring filters is superior to that of other sharpener-type filters.

KW - edge-detected

KW - image sharpening

KW - morphological filter

U2 - 10.1155/2008/970353

DO - 10.1155/2008/970353

M3 - Article

VL - 2008

JO - EURASIP Journal on Image and Video Processing

T2 - EURASIP Journal on Image and Video Processing

JF - EURASIP Journal on Image and Video Processing

SN - 1687-5176

IS - 970353

ER -