Cargando…
Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain
Multi-focus image fusion plays an important role in the application of computer vision. In the process of image fusion, there may be blurring and information loss, so it is our goal to obtain high-definition and information-rich fusion images. In this paper, a novel multi-focus image fusion method v...
Autores principales: | Li, Liangliang, Lv, Ming, Jia, Zhenhong, Ma, Hongbing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055133/ https://www.ncbi.nlm.nih.gov/pubmed/36991598 http://dx.doi.org/10.3390/s23062888 |
Ejemplares similares
-
Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation
por: Tan, Ling, et al.
Publicado: (2019) -
Multi-Focus Image Fusion via Distance-Weighted Regional Energy and Structure Tensor in NSCT Domain
por: Lv, Ming, et al.
Publicado: (2023) -
Saliency-Guided Nonsubsampled Shearlet Transform for Multisource Remote Sensing Image Fusion
por: Li, Liangliang, et al.
Publicado: (2021) -
Texture features in the Shearlet domain for histopathological image classification
por: Alinsaif, Sadiq, et al.
Publicado: (2020) -
Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain
por: Huang, Yan, et al.
Publicado: (2018)