Name
Abstract | ||
|---|---|---|
This contribution deals with the Heeger-Bergen pyramid-based texture analysis/synthesis algorithm. It brings a detailed explanation of the original algorithm tested on many characteristic examples. Our analysis reproduces the original results, but also brings a minor improvement concerning non-periodic textures. Inspired by visual perception theories, Heeger and Bergen proposed to characterize a texture by its first-order statistics of both its color and its responses to multiscale and multi-orientation filters, namely the steerable pyramid. The Heeger-Bergen algorithm consists in the following procedure: starting from a white noise image, histogram matchings are performed to the image alternately in the image domain and the steerable pyramid domain, so that the corresponding output histograms match the ones of the input texture. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.5201/ipol.2014.79 | IMAGE PROCESSING ON LINE |
Keywords | Field | DocType |
texture, synthesis, heeger, bergen | Computer vision,Histogram,ANSI C,Image texture,Source code,Computer science,Algorithm,Artificial intelligence,Pyramid,Texture atlas,Texture synthesis,Color image | Journal |
Volume | ISSN | Citations |
4 | 2105-1232 | 2 |
PageRank | References | Authors |
0.39 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thibaud Briand | 1 | 3 | 1.45 |
| Jonathan Vacher | 2 | 4 | 2.16 |
| Bruno Galerne | 3 | 18 | 1.18 |
| Julien Rabin | 4 | 165 | 14.85 |