Image Color Correction, Enhancement, and Editing

Simple item page
dc.contributor.advisorBrown, Michael S.
dc.contributor.authorAfifi, Mahmoud Nasser Mohammed
dc.date.accessioned2021-07-06T12:54:07Z
dc.date.available2021-07-06T12:54:07Z
dc.date.copyright2021-04
dc.date.issued2021-07-06
dc.date.updated2021-07-06T12:54:06Z
dc.degree.disciplineComputer Science
dc.degree.levelDoctoral
dc.degree.namePhD - Doctor of Philosophy
dc.description.abstractThis thesis presents methods and approaches to image color correction, color enhancement, and color editing. To begin, we study the color correction problem from the standpoint of the camera's image signal processor (ISP). A camera's ISP is hardware that applies a series of in-camera image processing and color manipulation steps, many of which are nonlinear in nature, to render the initial sensor image to its final photo-finished representation saved in the 8-bit standard RGB (sRGB) color space. As white balance (WB) is one of the major procedures applied by the ISP for color correction, this thesis presents two different methods for ISP white balancing. Afterwards, we discuss another scenario of correcting and editing image colors, where we present a set of methods to correct and edit WB settings for images that have been improperly white-balanced by the ISP. Then, we explore another factor that has a significant impact on the quality of camera-rendered colors, in which we outline two different methods to correct exposure errors in camera-rendered images. Lastly, we discuss post-capture auto color editing and manipulation. In particular, we propose auto image recoloring methods to generate different realistic versions of the same camera-rendered image with new colors. Through extensive evaluations, we demonstrate that our methods provide superior solutions compared to existing alternatives targeting color correction, color enhancement, and color editing.
dc.identifier.urihttp://hdl.handle.net/10315/38496
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordscamera ISP
dc.subject.keywordsimage signal processing
dc.subject.keywordscolor correction
dc.subject.keywordswhite balance
dc.subject.keywordsilluminant estimation
dc.subject.keywordscolor constancy
dc.subject.keywordsexposure correction
dc.subject.keywordsimage enhancement
dc.subject.keywordslow-light image enhancement
dc.subject.keywordsover-exposed image correction
dc.subject.keywordsimage color editing
dc.subject.keywordsimage recoloring
dc.subject.keywordslow-level computer vision
dc.subject.keywordsdeep learning
dc.subject.keywordsDNN
dc.subject.keywordsGAN
dc.titleImage Color Correction, Enhancement, and Editing
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Afifi_Mahmoud_NM_2021_PhD.pdf
Size:
87.5 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description:
Download

Collections

Computer Science

All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.