Cargando…
Effective Multifocus Image Fusion Based on HVS and BP Neural Network
The aim of multifocus image fusion is to fuse the images taken from the same scene with different focuses to obtain a resultant image with all objects in focus. In this paper, a novel multifocus image fusion method based on human visual system (HVS) and back propagation (BP) neural network is presen...
Autores principales: | Yang, Yong, Zheng, Wenjuan, Huang, Shuying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933522/ https://www.ncbi.nlm.nih.gov/pubmed/24683327 http://dx.doi.org/10.1155/2014/281073 |
Ejemplares similares
-
Multifocus Image Fusion Using Wavelet-Domain-Based Deep CNN
por: Li, Jinjiang, et al.
Publicado: (2019) -
Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images
por: Khan, Sarwar Shah, et al.
Publicado: (2021) -
Improving Empirical Mode Decomposition Using Support Vector Machines for Multifocus Image Fusion
por: Chen, Shaohui, et al.
Publicado: (2008) -
Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour
por: Bosco, Angelo, et al.
Publicado: (2009) -
Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality
por: Chen, Fan, et al.
Publicado: (2023)