Infrared and visible image fusion aims to obtain a synthetic image that can simultaneously
exhibit salient objects and provide abundant texture details. However, existing deep …

Heterogeneous image fusion (HIF) is an enhancement technique for highlighting the
discriminative information and textural detail from heterogeneous source images. Although …

Multi-modal image fusion aims to generate a fused image by integrating and distinguishing
the cross-modality complementary information from multiple source images. While the cross …

Over the last 30 years a plethora of variational regularization models for image
reconstruction have been proposed and thoroughly inspected by the applied mathematics …

This research paper presents an innovative technique for shadow images removal. The
method involves redefining a contemporary osmosis model by incorporating bilateral total …

Target detection technology has been greatly improved for synthetic aperture radar (SAR)
images recently, due to the advancement in the deep learning domain. However, because of …

Image fusion is significant in various distinct sectors of image processing, from remote
sensing to medical applications. In recent years, real-valued wavelet transforms have been …

This paper proposes a new model for image shadow removal. The model reformulates a
recent osmosis model with nonlocal differential operators. This allows to benefit from distant …

In this paper, a new Multi‐Focus Image Fusion (MFIF) method based on multi‐source joint
layering and Convolutional Sparse Representation (CSR) is proposed. Based on the …

Aiming at the problem of stitching overlapped images taken under different rotation angles,
we present an effective and adaptive method to rotate the image to an appropriate angle …