A novel technique to enhance low resolution ct and magnetic resonance images

Rahul Rajendran; Shishir Paramathma Rao; Sos S. Agaian; Michael A Liss

A novel technique to enhance low resolution ct and magnetic resonance images

Rahul Rajendran, Shishir Paramathma Rao, Sos S. Agaian, Michael A Liss

Department of Urology

Producción científica: Conference article › revisión exhaustiva

1 Cita (Scopus)

Resumen

This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely. Domain Transform, Shape-Adaptive edge enhancement, and Adaptive histogram equalization to enhance low resolution images. Visually, the proposed method produces better or comparable enhanced images than several state-of-The-Art methods [1-4J. In addition, we also test the performance of the proposed method with the method mentioned in [1] using EME [5] and EMEE [6] quality measures.

Idioma original	English (US)
Páginas (desde-hasta)	221-225
Número de páginas	5
Publicación	Simulation Series
Volumen	48
N.º	9
Estado	Published - ene 1 2016
Evento	48th Summer Computer Simulation Conference, SCSC 2016, Part of the 2016 Summer Simulation Multi-Conference, SummerSim 2016 - Montreal, Canada Duración: jul 24 2016 → jul 27 2016

ASJC Scopus subject areas

Computer Networks and Communications

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title = "A novel technique to enhance low resolution ct and magnetic resonance images",

abstract = "This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely. Domain Transform, Shape-Adaptive edge enhancement, and Adaptive histogram equalization to enhance low resolution images. Visually, the proposed method produces better or comparable enhanced images than several state-of-The-Art methods [1-4J. In addition, we also test the performance of the proposed method with the method mentioned in [1] using EME [5] and EMEE [6] quality measures.",

keywords = "Adaptive histogram equalization, Domain transform, Edge enhancement, Enhancement, Shape-Adaptive edge filter",

author = "Rahul Rajendran and Rao, {Shishir Paramathma} and Agaian, {Sos S.} and Liss, {Michael A}",

year = "2016",

month = jan,

day = "1",

language = "English (US)",

volume = "48",

pages = "221--225",

journal = "Simulation Series",

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T1 - A novel technique to enhance low resolution ct and magnetic resonance images

AU - Rajendran, Rahul

AU - Rao, Shishir Paramathma

AU - Agaian, Sos S.

AU - Liss, Michael A

PY - 2016/1/1

Y1 - 2016/1/1

N2 - This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely. Domain Transform, Shape-Adaptive edge enhancement, and Adaptive histogram equalization to enhance low resolution images. Visually, the proposed method produces better or comparable enhanced images than several state-of-The-Art methods [1-4J. In addition, we also test the performance of the proposed method with the method mentioned in [1] using EME [5] and EMEE [6] quality measures.

AB - This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely. Domain Transform, Shape-Adaptive edge enhancement, and Adaptive histogram equalization to enhance low resolution images. Visually, the proposed method produces better or comparable enhanced images than several state-of-The-Art methods [1-4J. In addition, we also test the performance of the proposed method with the method mentioned in [1] using EME [5] and EMEE [6] quality measures.

KW - Adaptive histogram equalization

KW - Domain transform

KW - Edge enhancement

KW - Enhancement

KW - Shape-Adaptive edge filter

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M3 - Conference article

AN - SCOPUS:84994682722

SN - 0735-9276

VL - 48

SP - 221

EP - 225

JO - Simulation Series

JF - Simulation Series

IS - 9

T2 - 48th Summer Computer Simulation Conference, SCSC 2016, Part of the 2016 Summer Simulation Multi-Conference, SummerSim 2016

Y2 - 24 July 2016 through 27 July 2016

ER -

A novel technique to enhance low resolution ct and magnetic resonance images

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ASJC Scopus subject areas

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