Compressive spectral imagers reduce the number of sampled pixels by coding and
combining the spectral information. However, sampling compressed information with …

Image fusion is an important branch of the image processing field that makes fuse different
information of multiple optical sensors images from the same scene into one complete …

Palmprints have been broadly used for personal authentication because they are highly
accurate and incur low cost. Most previous works have focused on two-dimensional (2-D) …

In this study, an efficient multifocus image fusion and reconstruction framework based on
compressed sensing in the wavelet domain are proposed. The new framework is composed …

In this study, an efficient image fusion framework for multi‐focus images is proposed based
on compressed sensing. The new fusion framework consists of three parts: image sampling …

A new robust adaptive fusion method for double‐modality medical image PET/CT is
proposed according to the Piella framework. The algorithm consists of the following three …

Compressed sensing (CS) in imaging is essential in many practical situations and does
need suitable algorithm for reconstruction from this highly incomplete observations …

In this paper, we propose a novel compressive image fusion method based on multi-
objective particle swarm optimization. In compressive image fusion, the challenge is to …

Based on the compressive sensing theory (CS), various compressive imaging (CI) systems
have been developed. Meanwhile, image fusion methods that directly perform on the …

On the basis of the compressed sensing theory, this study proposed an improved wavelet
sparse represented compressed sensing based image fusion algorithm. This algorithm firstly …