Synthesis of Progressive Varying Texture Through Blending Laplacian Pyramid Coefficients

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Creator: 

Moitry, Das

Date: 

2020

Abstract: 

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.

Subject: 

Computer Science

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Computer Science: 
M.C.S.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Computer Science

Parent Collection: 

Theses and Dissertations

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