Full metadata record
DC FieldValueLanguage
dc.contributorFaculty of Engineeringen_US
dc.contributor.advisorChan, Yuk Hee (EIE)-
dc.creatorHuang, Zixun-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/10099-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleApplications of error diffusion in sub-pixel based downsamplingen_US
dcterms.abstractA pixel on a liquid crystal display (LCD) or organic light-emitting diode (OLED) displays is composed of several controllable subpixels. Subpixel rendering technologies utilize the structural characteristics of the displays to improve the sharpness of the images that need to be displayed. One of the applications of subpixel rendering is image downsampling. Image downsampling is generally used for high quality images when playing them on low resolution display devices. Traditional pixel-based down-sampling methods tend to cause lots of color aliasing artifacts since many lines or edges of the image will be broken. By controlling the subpixels rather than the pixel of the display, subpixel-based image downsampling theoretically can retain more information of the original image to achieve a higher resolution of the down-sampled image. Nevertheless, the increase in resolution is at the expense of color fringing artifacts. It is challenging to achieve higher image resolution while causing less chrominance distortion. In this dissertation, we proposed a new subpixel-based downsampling method called subpixel-based down-sampling with error diffusion (SDwED). Seven performance metrics including LSM, LAM, LCM, CDM, SSIM, S-CIELAB and de are used to evaluate the performance of SDwED and other testing methods, we choose. We also apply SDwED to VPX and VPW panels to verify the adaptability of SDwED. Simulation results shows that SDwED can reduce color aliasing obviously with little color distortion in different testing display layouts. However, the output of SDwED are generally more blurred. To solve this problem, we propose another method called subpixel-based down-sampling with error diffusion and bilateral filtering (SDWEDABF). Our simulation results show that SDWEDABF can improve the edges as compared with SDWED, with slightly more color distortion.en_US
dcterms.extentx, 64 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2019en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.LCSHImage processingen_US
dcterms.LCSHFlat panel displaysen_US
dcterms.LCSHLiquid crystal displaysen_US
dcterms.accessRightsrestricted accessen_US

Files in This Item:
File Description SizeFormat 
991022270857703411.pdfFor All Users (off-campus access for PolyU Staff & Students only)2.37 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show simple item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/10099