Cargando…
Conditional Random Field-Guided Multi-Focus Image Fusion
Multi-Focus image fusion is of great importance in order to cope with the limited Depth-of-Field of optical lenses. Since input images contain noise, multi-focus image fusion methods that support denoising are important. Transform-domain methods have been applied to image fusion, however, they are l...
Autores principales: | Bouzos, Odysseas, Andreadis, Ioannis, Mitianoudis, Nikolaos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505971/ https://www.ncbi.nlm.nih.gov/pubmed/36135406 http://dx.doi.org/10.3390/jimaging8090240 |
Ejemplares similares
-
Multiple-Exposure Image Fusion for HDR Image Synthesis Using Learned Analysis Transformations †
por: Merianos, Ioannis, et al.
Publicado: (2019) -
Multi-Focus Image Fusion for Full-Field Optical Angiography
por: Jie, Yuchan, et al.
Publicado: (2023) -
Exploiting Superpixels for Multi-Focus Image Fusion
por: Ilyas, Areeba, et al.
Publicado: (2021) -
Affiliated Fusion Conditional Random Field for Urban UAV Image Semantic Segmentation
por: Kong, Yingying, et al.
Publicado: (2020) -
Multi-Focus Image Fusion Method for Vision Sensor Systems via Dictionary Learning with Guided Filter
por: Li, Qilei, et al.
Publicado: (2018)