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Pyramid-based texture analysis/synthesis

David J. Heeger, James R. Bergen
1995 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95  
This synthesis is completely automatic and requires only the "target" texture as input. It allows generation of as much texture as desired so that any object can be covered.  ...  This paper describes a method for synthesizing images that match the texture appearance of a given digitized sample.  ...  Many of the source texture images were cropped from photoCDs distributed by Pixar and Corel.  ... 
doi:10.1145/218380.218446 dblp:conf/siggraph/HeegerB95 fatcat:2kfozcggrbb5hd7sfeunhn3ulq

Texture mixing and texture movie synthesis using statistical learning

Z. Bar-Joseph, R. El-Yaniv, D. Lischinski, M. Werman
2001 IEEE Transactions on Visualization and Computer Graphics  
In the case of 2D texture synthesis our algorithm produces results that are generally as good or better than those produced by previously described methods in this field.  ...  In our approach, input textures are treated as sample signals generated by a stochastic process.  ...  Burt and Adelson [5] produce smooth transitions between different textures by weighted averaging of the Laplacian pyramid coefficients of the textures.  ... 
doi:10.1109/2945.928165 fatcat:pccbanf3o5em5b7bnzvgnkstq4

Simultaneous inpainting and denoising by directional global three-part decomposition: connecting variational and Fourier domain-based image processing

D. H. Thai, C. Gottschlich
2018 Royal Society Open Science  
and texture elements.  ...  We consider the very challenging task of restoring images (i) that have a large number of missing pixels, (ii) whose existing pixels are corrupted by noise, and (iii) that ideally contain both cartoon  ...  C.G. gratefully acknowledges the support of the Felix-Bernstein Institute for Mathematical Statistics in the Biosciences and the Niedersachsen Vorab of the Volkswagen Foundation.  ... 
doi:10.1098/rsos.171176 pmid:30109034 pmcid:PMC6083703 fatcat:gon32zwiergaxfoipzbfvzmb24

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A. Srivastava, A.B. Lee, E.P. Simoncelli, S.-C. Zhu
2012 Journal of Mathematical Imaging and Vision  
Statistical analysis of images reveals two interesting properties: (i) invariance of image statistics to scaling of images, and (ii) non-Gaussian behavior of image statistics, i.e. high kurtosis, heavy  ...  Applications of these models in areas such as texture analysis, image classification, compression, and denoising are also considered.  ...  AS has been supported in part by the grants NSF DMS-0101429, ARO DAAD19-99-1-0267, and NMA 201-01-2010. EPS was supported in part by NSF CAREER grant MIP-9796040, the Alfred P.  ... 
doi:10.1023/a:1021889010444 fatcat:xiwo3b5j3bf65eoplzn2tqlpwm

Texture Synthesis with Grouplets

G. Peyre
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This article explores texture inpainting and texture synthesis, which both require the joint optimization of the geometric flow and the grouplet coefficients.  ...  Statistical modeling and sparsity optimization over these grouplet coefficients enable the synthesis of texture patterns along the flow.  ...  A Laplacian pyramid tight frame is used in the numerical experiments, which has a redundancy of J + 1, see [10] .  ... 
doi:10.1109/tpami.2009.54 pmid:20224127 fatcat:wp5rppu2vvc3vef6qgjntdjiui

Reflectance modeling by neural texture synthesis

Miika Aittala, Timo Aila, Jaakko Lehtinen
2016 ACM Transactions on Graphics  
This work was supported by the Academy of Finland (grant 277833). We acknowledge the computational resources provided by the Aalto Science-IT project.  ...  We note a similarity to Barron and Malik [2015] who optimize weighted Laplacian pyramid coefficients as opposed to direct pixel values, with dramatically improved results.  ...  the texture descriptor, and λ = 0.01 is a mixing weight.  ... 
doi:10.1145/2897824.2925917 fatcat:ir6jtl4ypvahnkodmdkwd5qlla

A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images

Fabrizio Argenti, Alessandro Lapini, Tiziano Bianchi, Luciano Alparone
2013 IEEE Geoscience and Remote Sensing Magazine  
Promising methods following non-Bayesian approaches, like nonlocal (NL) filtering and total variation (TV) regularization, are reviewed and compared to spatial-and wavelet-domain Bayesian filters.  ...  The concept of fully developed speckle is explained. Drawbacks of homomorphic filtering are pointed out.  ...  [56] ; (d) Rational Laplacian Pyramid filter [59] .  ... 
doi:10.1109/mgrs.2013.2277512 fatcat:3d6yuvim2vcf3ddmv2grmvrtgi

New advances in Neuro -Visual Simulation and Symbolic extraction for Real World Computing, 3D Image Analysis and 3D object Digitization [article]

P. Leray
1996 Eurographics Workshop on Graphics Hardware  
Towards a new kind of filter-based data structures instead of splines/polygons.  ...  Final Synthesis (or reconstruction) is processed by reverse filtering, using non orthogonal basis filters.  ...  -what is the grouping of information in zones homogeneous with their movements, and which of their textures is the most perceptively acceptable?  ... 
doi:10.2312/eggh/eggh96/079-089 dblp:conf/egh/Leray96 fatcat:pygdbb4g3rfwfjooocc7euisf4

Textures revisited

Hitoshi Yamauchi, Hendrik P.A. Lensch, Jörg Haber, Hans-Peter Seidel
2005 The Visual Computer  
The techniques presented in this paper make a consistent and complete pipeline to generate the texture of a complex object.  ...  Photographs of the object taken from multiple viewpoints under modestly uncontrolled illumination conditions are merged into a seamless texture using our new texture combination method.  ...  Acknowledgement This work has been partially funded by the Max Planck Center for Visual Computing and Communication.  ... 
doi:10.1007/s00371-005-0283-5 fatcat:fth3yojcczdrtbjkfwxia7op7a

Non-Parametric Neural Style Transfer [article]

Nicholas Kolkin
2021 arXiv   pre-print
Then I will describe how the traditional texture-based definition of style can be expanded to include elements of geometry and proportion by jointly optimizing a keypoint-guided deformation field alongside  ...  Finally I will describe a framework inspired by both modern neural style transfer algorithms and traditional patch-based synthesis approaches which is fast, general, and offers state-of-the-art visual  ...  We then decompose the initialized output image into a five level Laplacian pyramid. We update the pyramid coefficients using RMSprop [42] to minimize our objective function.  ... 
arXiv:2108.12847v1 fatcat:v3mtlfi45vccjnh4r2pzuf4ntu

Wasserstein Loss for Image Synthesis and Restoration

Guillaume Tartavel, Gabriel Peyré, Yann Gousseau
2016 SIAM Journal of Imaging Sciences  
These estimators include linear wavelet-based filtering to account for simple textures, non-linear sparse coding coefficients for more complicated patterns, and the image gradient to restore sharper contents  ...  The empirical distributions of linear or non-linear descriptors are imposed to be close to some input distributions by minimizing a Wasserstein loss, i.e. the optimal transport distance between the distributions  ...  The work of Gabriel Peyré has been supported by the European Research Council (ERC project SIGMA-Vision).  ... 
doi:10.1137/16m1067494 fatcat:vrbtvkvbxfdrplr42sk632ob5i

Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

Adrien Depeursinge, Antonio Foncubierta-Rodriguez, Dimitri Van De Ville, Henning Müller
2014 Medical Image Analysis  
Using texture synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal ageing process and disease progression for enhanced treatment planning and clinical care  ...  The information modeled by the various image processing techniques is analyzed and visualized by displaying their 3-D texture primitives.  ...  of the Khresmoi project (FP7-257528).  ... 
doi:10.1016/j.media.2013.10.005 pmid:24231667 fatcat:6luivlhrtrdv5dlbh626ohkps4

Denoising of Medical Ultrasound Images Using Spatial Filtering and Multiscale Transforms

Prudhvi Raj V N
2012 International Journal of Computer Science & Information Technology (IJCSIT)  
One of the non-invasive modality widely used is ultrasound Imaging where no question of radiation but suffers from speckle noise produced by the small particles in the tissues who's size is less than the  ...  wavelength of the ultrasound.  ...  The multiscale transforms such as gaussian and laplacian pyramids,steerable pyramids and wavelets are performing well in many image processing tasks by decomposing the images into multiple scales and using  ... 
doi:10.5121/ijcsit.2012.4613 fatcat:tlx3wksqprh7hoqx4tkwcnutqm

Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids

Jose A. Guerrero-Colon, Luis Mancera, Javier Portilla
2008 IEEE Transactions on Image Processing  
Its strength relies on providing a simple and yet very effective local statistical description of oriented pyramid coefficient neighborhoods via a GSM vector.  ...  Here we present an enhancement of the model by introducing a coarser adaptation level, where a larger neighborhood is used to estimate the local signal covariance within every subband.  ...  , mainly corresponding to low-contrast texture within homogeneous patches in the scene.  ... 
doi:10.1109/tip.2007.911473 pmid:18229802 fatcat:4762twljpfahtngu4t4ead5iwe

Image denoising using scale mixtures of gaussians in the wavelet domain

J. Portilla, V. Strela, M.J. Wainwright, E.P. Simoncelli
2003 IEEE Transactions on Image Processing  
We demonstrate through simulations with images contaminated by additive white Gaussian noise that the performance of this method substantially surpasses that of previously published methods, both visually  ...  We describe a method for removing noise from digital images, based on a statistical model of the coefficients of an overcomplete multiscale oriented basis.  ...  We also included a 512 512 image of a fingerprint, which unlike the other images, is a homogeneous texture.  ... 
doi:10.1109/tip.2003.818640 pmid:18244692 fatcat:doqptaeb25gcjk2q2pn2kej3j4
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