Synthesis of Non-homogeneous Textures by Laplacian Pyramid Coefficient Mixing

Das Moitry, David Mould

Abstract

We present an example-based method for generating non-homogeneous stochastic textures, where the output texture contains elements from two input exemplars. We provide user control over the blend through a blend factor that specifies the degree to which one texture or the other should be favored; the blend factor can vary spatially. Uniquely, we add spatial coherence to the output texture by performing a joint oversegmentation of the two texture inputs, then applying a fixed blend factor within each segment. Our method works with the Laplacian pyramid representation of the textures. We combine the pyramid coefficients using a weighted smooth maximum, ensuring that locally prominent features are preserved through the blending process. Our method is effective for stochastic textures and successfully blends the structures of the two inputs.

Download


Paper Citation


in Harvard Style

Moitry D. and Mould D. (2021). Synthesis of Non-homogeneous Textures by Laplacian Pyramid Coefficient Mixing.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-488-6, pages 161-168. DOI: 10.5220/0010204601610168


in Bibtex Style

@conference{grapp21,
author={Das Moitry and David Mould},
title={Synthesis of Non-homogeneous Textures by Laplacian Pyramid Coefficient Mixing},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2021},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010204601610168},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - Synthesis of Non-homogeneous Textures by Laplacian Pyramid Coefficient Mixing
SN - 978-989-758-488-6
AU - Moitry D.
AU - Mould D.
PY - 2021
SP - 161
EP - 168
DO - 10.5220/0010204601610168