Piecewise Planar Image Restoration via Gradient Graph Laplacian Regularizer

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dc.contributor.advisor Cheung, Gene
dc.contributor.authorGharedaghi, Yeganeh
dc.date.accessioned2024-11-07T11:10:18Z
dc.date.available2024-11-07T11:10:18Z
dc.date.copyright2024-08-06
dc.date.issued2024-11-07
dc.date.updated2024-11-07T11:10:17Z
dc.degree.disciplineElectrical and Computer Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractImages in various practical applications often exhibit Piecewise Planar (PWP) characteristics. Common issues such as noise, blur, and distortions arise from sensor limitations, transmission errors, and environmental factors like lighting and sensor quality. Despite advancements in image restoration, significant challenges remain under conditions of poor lighting, camera movement, and occlusions, making PWP image restoration a critical research area. This thesis investigates the restoration of PWP images, focusing on efficiently overcoming these challenges and enhancing image quality in two real-world applications: (i) depth image denoising and (ii) low-light image contrast enhancement. We formulate quadratic objectives regularized by Graph Laplacian Regularizer and Gradient Graph Laplacian Regularizer, tailored for these two applications. These objectives can be efficiently solved in linear time using a conjugate gradient solver and the alternating direction method of multipliers. Experimental results demonstrate that our algorithm achieves competitive image quality while significantly reducing computational complexity.
dc.identifier.urihttps://hdl.handle.net/10315/42459
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer engineering
dc.subjectComputer science
dc.subjectElectrical engineering
dc.subject.keywordsGraph signal processing
dc.subject.keywordsImage processing
dc.subject.keywordsImage restoration
dc.subject.keywordsContrast enhancement
dc.subject.keywordsImage denoising
dc.subject.keywordsDepth map
dc.subject.keywordsLow-light image
dc.titlePiecewise Planar Image Restoration via Gradient Graph Laplacian Regularizer
dc.typeElectronic Thesis or Dissertation

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