In this paper, we propose a remote sensing image fusion method which combines the
wavelet transform and sparse representation to obtain fusion images with high spectral …

The fusion of data for medical imaging has become a central issue in such biomedical
applications as image-guided surgery and radiotherapy. The multi-level local extrema (MLE) …

With extraordinary advances in sensor technology, infrared and visible image fusion has
been widely used in both military and civilian applications. In this paper, we propose a novel …

Since vectors include direction and magnitude, they have more information than scalars. So,
converting the scalar images into the vector field leads achieving much information about …

Percutaneous interventions are gaining rapid acceptance in cardiology and revolutionizing
the treatment of structural heart disease (SHD). As new percutaneous procedures of SHD …

In this paper, a hierarchical probabilistic graphical model is proposed to tackle joint
classification of multiresolution and multisensor remote sensing images of the same scene …

Near-infrared (NIR) imaging can add very useful data to many visible range image
processing applications. In this paper, new fusion techniques are proposed to benefit from …

The effective measurement of pixel's sharpness is a key factor in multi-focus image fusion. In
this paper, a gray image is considered as a two-dimensional surface, and the neighbor …

Multifocus image fusion aims at overcoming imaging cameras's finite depth of field by
combining information from multiple images with the same scene. For the fusion problem of …

Synthetic aperture radar (SAR) and optical images often present different geometric
structures and texture features for the same ground object. Through the fusion of SAR and …