Efros and Leung Texture Synthesis - Computer graphics

In order to generate a pixel, Efros and Leung's algorithm searches for the pixel's neighborhood (or "window") in the sample texture. Their algorithm compares the pixel's window to EVERY window in the sample - this can take a long time (hours) because the search space is so large. However, since textures by nature have the property of repeating themselves, many of the windows in the image will look similar and we can cut down the search space by an order of magnitude by grouping them. In their paper on texture synthesis, Wei and Levoy take advantage of these savings by using tree-structured vector quantization. () We implemented this suggestion from the paper and sped the algorithm up until it could generate 10,000 pixels of texture in just seconds or minutes. The algorithm stores the windows around all possible pixels in the texture-sample in a VQ tree. When generating new pixels in the result image, we can query the tree and it will return the nearest neighbors (i.e. the most similar sample windows) to our result-window.

Texture Synthesis Efros & Leung's Algorithm

Texture synthesis implementation of Efros and ..

Exemplar-based Texture Synthesis: the Efros-Leung Algorithm

However, as I will demonstrate, it is impractical to use so small window, whichmay not find the undergoing stochastic property (This is also discussed inEfros’s paper).Figure 2To have an idea about howlarge the matching window should be, we test our algorithm for synthesizingbrick texture.

Alexei A. Efros homepage - EECS at UC Berkeley

For our first step we implemented Efros and Leung's texture synthesis algorithm. Basically, this algorithm generates texture by looking through the original image and finding regions that match the pixel about to be generated. It does this by comparing a "window" of pixels around the new pixel to every possible window in the original texture and measuring the distance with a gaussian version of sum of square distances weighted toward central pixels in the window. Then, to ensure randomness, it picks a random pixel from those that match within a given error bound. For more details, we recommend reading their paper at Additionally, the code base is online at: . However, if you are interested in exploring the texture-picture blending described below, we found that this version of the code would not handle the changes we needed and ended up coding our own version from scratch. You will probably want to do the same thing.

[7] A. A. Efros and T. K. Leung. Texture synthesis by non- parametric sampling. In ICCV , 1999. [8] from MI IP at Universidad del Rosario
fast scale invariant texture synthesis with gpu Read more about texture, synthesis, wavelet, algorithm, method and efros.

Image Quilting for Texture Synthesis and Transfer

10/01/2016 · Matlab Implementation of Efros&Leung's "Texture Synthesis by Non-parametric Sampling" Wrote this program as part of …

Image Quilting for Texture Synthesis and Transfer Alexei A

24-6-2016 · Video Based Motion Synthesis by Splicing and Morphing. Greg Mori, Alex Berg, Alyosha Efros, Ashley Eden, Jitendra Malik; 2004

Included dissertation india alyosha efros phd ..