Development of Image Display-Specific Evaluation and Optimization Schemes

Persistent Link:
http://hdl.handle.net/10150/195754
Title:
Development of Image Display-Specific Evaluation and Optimization Schemes
Author:
Fan, Jiahua
Issue Date:
2006
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
An electronic display is typically the last stage of an imaging chain before the human observer. Some of its physical properties can make it a bottleneck in the chain. This dissertation is an attempt to study and cope with certain critical properties of electronic displays, specifically spatial resolution, noise and contrast. The focus of this study lies in two parts. One is the measurement and estimation of display properties, including the spatial resolution and the spatial noise. The other is on the development of display-based image processing algorithms, which can compensate for the degradations from the specific display. The basic idea is to perform operations on the digital image before it is displayed, which will counteract the degradations that come from the action of the display systems. The properties of the display will be derived mainly from the digital images taken by a high quality CCD camera on the display. Based on the display properties estimated, several image processing techniques have been developed in this project to optimize the spatial resolution, noise and contrast resolution of the specific display under consideration. We have also developed a novel error-diffusion-based algorithm for adaptive image contrast enhancement which incorporates the properties of the display as well as the properties of the image.
Type:
text; Electronic Dissertation
Keywords:
Display; Evaluation; Optimization; Image Processing; Medical
Degree Name:
PhD
Degree Level:
doctoral
Degree Program:
Electrical & Computer Engineering; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Sundareshan, Malur K.
Committee Chair:
Sundareshan, Malur K.

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleDevelopment of Image Display-Specific Evaluation and Optimization Schemesen_US
dc.creatorFan, Jiahuaen_US
dc.contributor.authorFan, Jiahuaen_US
dc.date.issued2006en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractAn electronic display is typically the last stage of an imaging chain before the human observer. Some of its physical properties can make it a bottleneck in the chain. This dissertation is an attempt to study and cope with certain critical properties of electronic displays, specifically spatial resolution, noise and contrast. The focus of this study lies in two parts. One is the measurement and estimation of display properties, including the spatial resolution and the spatial noise. The other is on the development of display-based image processing algorithms, which can compensate for the degradations from the specific display. The basic idea is to perform operations on the digital image before it is displayed, which will counteract the degradations that come from the action of the display systems. The properties of the display will be derived mainly from the digital images taken by a high quality CCD camera on the display. Based on the display properties estimated, several image processing techniques have been developed in this project to optimize the spatial resolution, noise and contrast resolution of the specific display under consideration. We have also developed a novel error-diffusion-based algorithm for adaptive image contrast enhancement which incorporates the properties of the display as well as the properties of the image.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectDisplayen_US
dc.subjectEvaluationen_US
dc.subjectOptimizationen_US
dc.subjectImage Processingen_US
dc.subjectMedicalen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineElectrical & Computer Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorSundareshan, Malur K.en_US
dc.contributor.chairSundareshan, Malur K.en_US
dc.contributor.committeememberRoehrig, Hansen_US
dc.contributor.committeememberDallas, William J.en_US
dc.contributor.committeememberDereniak, Eustace L.en_US
dc.identifier.proquest1791en_US
dc.identifier.oclc659747557en_US
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