Loughborough University
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Transform domain texture synthesis

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posted on 2018-08-16, 10:06 authored by Dhammike S. Wickramanayake
Developments in digital cinema and computer games industry have required for fast texture synthesis algorithms that are capable of synthesizing better quality textures. Unfortunately most of the existing state-of-the-art algorithms suffer from excessive complexity related issues resulting in high synthesis times. This thesis proposes seven novel algorithms in order to address the existing problems in sample-based texture synthesis. All the proposed algorithms use visually significant transform coefficients within texture synthesis and thus effectively exploit the limitations of the human visual system (HVS). This thesis proposes four algorithms that use the Discrete Wavelet Transform (DWT) for extracting visually significant information within the texture synthesis process. [Continues.]



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© Dhammike Saranath Wickramanayake

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.


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