Being an efficient method of information fusion, multi-focus image fusion has attracted
increasing interests in image processing and computer vision. This paper proposes a multi …

The purpose of remote sensing image fusion is to sharpen a low spatial resolution
multispectral (MS) image by injecting the detail map extracted from a panchromatic (PAN) …

Pan-sharpening is a process of merging a high-resolution (HR) panchromatic (PAN) image
and its corresponding low-resolution (LR) multi-spectral (MS) image to create an HR-MS …

Recent advances in deep learning have shown impressive performances for pan-
sharpening. Pan-sharpening is the task of enhancing the spatial resolution of a multi …

In the conventional structure tensor-based gradient domain image fusion methods, a
structure tensor is exploited to calculate the fused gradient, from which the fused image can …

For many multi-focus image fusion methods, fused image visual and quantitative analysis is
a challenging problem because of the presence of ringing and blurring artifacts. A high …

Thermal data products derived from remotely sensed data play significant roles as key
parameters for biophysical phenomena. However, a trade-off between spatial and spectral …

Gram-Schmidt based spectral pansharpening is a well-known scheme for fusion of
panchromatic (PAN) and multispectral (MS) images. However, it relies more on the relative …

In remote sensing fusion, the spatial details of a panchromatic (PAN) image and the
spectrum information of multispectral (MS) images will be transferred into fused images …

The purpose of remote sensing image fusion is to inject the detail image extracted from the
panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. A novel …