Normalized Moments for Photo-realistic Style Transfer

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dc.contributor.advisorBrown, Michael S.
dc.contributor.authorCanham, Trevor Dalton
dc.date.accessioned2025-04-10T10:42:07Z
dc.date.available2025-04-10T10:42:07Z
dc.date.copyright2024-05-07
dc.date.issued2025-04-10
dc.date.updated2025-04-10T10:42:06Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractStyle transfer, the operation of matching appearance features between source and target images, is a complex and highly subjective problem. Due to the profundity of the concept of artistic style, the optimal solution is ill-defined, so the variety of approaches that have been proposed represent partial solutions to varying degrees of efficiency, usability and appearance of results. In this work a photo-realistic style transfer method for image and video is proposed that is based on vision science principles and on a recent mathematical formulation for the deterministic decoupling of features. As a proxy for mimicking the effects of camera color rendering or post processing, the employed features (the first through fourth order moments of the color distribution) represent important cues for visual adaptation and pre-attentive processing. The method is evaluated on the above criteria in a series of application relevant experiments and is shown to have results of high visual quality, without spatio-temporal artifacts, and validation tests in the form of observer preference experiments show that it compared very well with the state-of-the-art (deep learning, optimal transport, etc.) The computational complexity of the algorithm is low, and a numerical implementation that is amenable for real-time video application is proposed and demonstrated. Finally, general recommendations for photo-realistic style transfer are discussed.
dc.identifier.urihttps://hdl.handle.net/10315/42748
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subject.keywordsStyle transfer
dc.subject.keywordsPhoto editing
dc.subject.keywordsColor correction
dc.subject.keywordsCinema
dc.subject.keywordsPost production
dc.subject.keywordsStatistics
dc.subject.keywordsVision
dc.subject.keywordsDecoupled moments
dc.subject.keywordsPre-attentive processing
dc.titleNormalized Moments for Photo-realistic Style Transfer
dc.typeElectronic Thesis or Dissertation

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