Cargando…
Two-Dimensional Hermite Filters Simplify the Description of High-Order Statistics of Natural Images
Natural image statistics play a crucial role in shaping biological visual systems, understanding their function and design principles, and designing effective computer-vision algorithms. High-order statistics are critical for conveying local features, but they are challenging to study – largely beca...
Autores principales: | Hu, Qin, Victor, Jonathan D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5050006/ https://www.ncbi.nlm.nih.gov/pubmed/27713838 http://dx.doi.org/10.3390/sym8090098 |
Ejemplares similares
-
Higher order Riesz transforms for Hermite expansions
por: Huang, Jizheng
Publicado: (2017) -
Simultaneous Trapping of Two Types of Particles with Focused Elegant Third-Order Hermite–Gaussian Beams
por: Su, Jingjing, et al.
Publicado: (2021) -
The Hermit Crab
Publicado: (1919) -
Optimal Sixteenth Order Convergent Method Based on Quasi-Hermite Interpolation for Computing Roots
por: Zafar, Fiza, et al.
Publicado: (2014) -
Trainable FIR-order statistic hybrid filters
por: Inkinen, S J, et al.
Publicado: (1995)