Name
Title | ||
|---|---|---|
Performance evaluation of a novel sampling-based texture synthesis technique using different sized patches |
Abstract | ||
|---|---|---|
We propose a novel sampling-based texture synthesis algorithm called Multipatch, which improves on the results of previous
sampling-based algorithms by using patches of different size, and by minimizing global pasting errors. A key feature of the
proposed algorithm is that it always converges to a local minimum. Multipatch, the patchwork algorithm, and Wei and Levoy’s
multi-resolution texture synthesis algorithm, which is based on a tree-structured vector quantization method, are statistically
analyzed and subjectively evaluated. The results of simulations show that the patchwork algorithm yields a perceptually acceptable
texture in a shorter expected running time than the other two algorithms; however, Multipatch is the most efficient in terms
of obtaining a good quality texture image. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s11760-007-0046-z | Signal, Image and Video Processing |
Keywords | Field | DocType |
sampling-based · texture synthesis · multipatch · patchwork · multi-resolution,tree structure,texture synthesis | Computer vision,Pattern recognition,Local optimum,Multiresolution analysis,Algorithm,Image processing,Vector quantization,Sampling (statistics),Artificial intelligence,Texture synthesis,Mathematics,Statistical analysis | Journal |
Volume | Issue | ISSN |
2 | 3 | 1863-1711 |
Citations | PageRank | References |
1 | 0.35 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu-Yuan Lai | 1 | 1 | 0.69 |
| Wen-Liang Hwang | 2 | 429 | 58.03 |
| Paruvelli Sreedevi | 3 | 16 | 2.85 |