An image fusion based on multimodal medical images renders a considerable
enhancement in the quality of fused images. An effective image fusion technique produces …

Major technical constraints like minimum data storage at satellite platform in space, less
bandwidth for communication with earth station, etc. limits the satellite sensors from …

Medical image fusion techniques have been widely used in various clinical applications.
Generalized homomorphic filters have Fourier domain features of input image. In multimodal …

The issue of visible light and infrared images fusion has been an active topic in both military
and civilian areas, and a great many relevant algorithms and techniques have been …

Multimodal medical image fusion is one the most important and useful disease diagnostic
techniques. This research paper proposed a novel neuro-fuzzy hybrid multimodal medical …

Medical image fusion is a technique that maps information from multiple image modalities
into a single image. In past, several multimodal fusion approaches were developed by …

To obtain maximum information and key features from the source images, enhance visual
quality and contrast of the fused image, and decrease computational task; an improved …

The key issue of multi-sensor image fusion is how to accurately extract and fuse the high-
quality pixels or coefficients of source images. Nevertheless, the so-called high-quality is an …

Generally, the anatomical CT/MRI modalities exhibit the brain tissue anatomy with a high
spatial resolution, where PET/SPECT modalities show the metabolic features with low …

This research proposes a novel fusion scheme for non-subsampled shearlet transform
(NSST) which is based on simplified model of pulse coupled neural network (PCNN). The …