… image fusion techniques based on optimization algorithms such as Particle Swarm Optimization
(PSO) and Genetic Algorithm (GA) … on variance and spatial frequency. The variance and …

… multi-focus image fusion using an ensemble of multiple local features by weight optimization
using a genetic algorithm… In their study, they used a spatial frequency and sum of Laplacian …

… using different statistical measures. Another contribution of this paper is the proposal of a
multi-focus image fusion … Focus measures such as the energy of Laplacian or spatial frequency …

… This method used spatial frequency for fusing images and was helpful even in real… using
sharpness criteria for constructing the fused image. This method outperformed genetic algorithm…

… The spatial frequency (SF) of a NSCT band is fed to the PCNN to obtain the activity level
measurement. Since then, PCNN and its improved versions such as spiking cortical model (SCM…

… fusion methods, the detection of the focus area is a critical step. In this paper, we propose a
multi-focus image fusion algorithm … detected from super-resolved images. Firstly, the source …

… a multi-focus image fusion using an ensemble of multiple local features by weight optimization
using a genetic algorithm. … Their study used a spatial frequency and sum of Laplacian for …

… of-the-art existing techniques such as Genetic Algorithm (GA), Principal Component Analysis
(… Spatial Frequency measures the activity level in image. We have used spatial frequency to …

… or optimum fused image. As optimization is needed in the image fusion process, evolutionary
algorithms can give the … Spatial Frequency: this provides the spatial information of an …

… The key aim of Multi-focus Image Fusion (MFIF) is to gather … source images and then merge
that information to develop a fused … SWT, FS, and Local Spatial Frequency (LSF) was able to …