The track of medical imaging has witnessed several advancements in the last years. Several
medical imaging modalities have appeared in the last decades including X-ray, Computed …

Organic photodetectors (OPDs) are promising for applications in flexible electronics due to
their advantages of excellent photodetection performance, cost‐effective solution‐fabrication …

The properties like pulse synchronization of neurons and global coupling greatly motivated
researchers to apply pulse coupled neural network (PCNN) models in accomplishing image …

Pulse coupled neural network (PCNN) is widely used in image fusion framework due to its
global coupling and pulse synchronization of neurons. However, its manual setting of …

Imaging sensing holds a remarkable place in modern electronics and optoelectronics for the
complementary metal-oxide-semiconductor integration of high-speed optical …

In this paper, a novel fusion network for infrared and visible images is proposed, named
Image Pair Learning Fusion Network (IPLF). At present, most of the released deep learning …

Flexible image sensors with good detectivity, high mechanical stability, and excellent
flexibility have generated great interest in biomimetic visual applications. Semiconductor …

Image fusion technology aims to obtain a comprehensive image containing a specific target
or detailed information by fusing data of different modalities. However, many deep learning …

Multi-modal medical image fusion provides comprehensive and objective descriptions of
lesions for clinical medical assistance. However, retaining useful information while …

Multifocus image fusion aims to merge source images with distinct focused areas into a
single, fully focused fused image. Sparse representation (SR) stands out as a robust signal …