Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …

In this paper, a new image fusion algorithm based on fourth order partial differential
equations and principal component analysis is introduced. This is for the first time fourth …

Like bilateral filter (BF), cross bilateral filter (CBF) considers both gray-level similarities and
geometric closeness of the neighboring pixels without smoothing edges, but it uses one …

Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic
range (LDR) images provide practically useful tools for the visualization of HDR images on …

Comparison of image processing techniques is critically important in deciding which
algorithm, method, or metric to use for enhanced image assessment. Image fusion is a …

In this paper, we propose a general purpose, simple and fast fusion algorithm based on
guided image filter. The proposed method can well combine useful source image …

The widespread usage of image fusion causes an increase in the importance of assessing
the performance of different fusion algorithms. The problem of introducing a suitable quality …

The energy compaction and multiresolution properties of wavelets have made the image
fusion successful in combining important features such as edges and textures from source …

We describe a predictive imaging modality created by'fusing'two distinct technologies:
imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in …