Synthesis of Progressive Varying Texture Through Blending Laplacian Pyramid Coefficients

We generate a texture synthesis algorithm where there is gradual progression of merged textures in the output image. The goal of the algorithm is to merge the textures based on given measure of texture proportion. The proportion of texture contents defines how much of textures from each input will be preserved in the output and how the distribution of texture will occur after merging. The algorithm is applicable for any random phase texture as well as some non-random phase textures which are stochastic and there is no well-defined visual structures. Our method of progressively variant texture synthesis is distinguished from previous techniques by being able to produce a gradual as well as scattered distribution of merged textures in the output. This irregular distribution gives a realistic view in the merged region of output.

Name thesis:degree_name

Master of Computer Science (M.C.S.)

Level thesis:degree_level

Master's

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

Carleton University

Year dc:date.issued

2020

Author dc:creator

• Moitry, Das

Statement dc:rights

• Copyright © 2020 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.

Language dc:language.iso

en

DOI

10.22215/etd/2020-14274

OAI identifier oai:identifier

oai:carleton.scholaris.ca:20.500.14718/41452