Joint image fusion and denoising via three-layer decomposition and sparse representation
X Li, F Zhou, H Tan - Knowledge-Based Systems, 2021 - Elsevier
… images, an image fusion method based on three-layer decomposition and sparse representation
is … have the functions of simultaneously achieving image fusion and denoising, and the …
is … have the functions of simultaneously achieving image fusion and denoising, and the …
A novel multi-modality image simultaneous denoising and fusion method based on sparse representation
G Qi, G Hu, N Mazur, H Liang, M Haner - Computers, 2021 - mdpi.com
… Most simultaneous image fusion and denoising methods … adaptive sparse representation
(ASR) model was proposed by Liu and Wang [38] for simultaneous image denoising and fusion…
(ASR) model was proposed by Liu and Wang [38] for simultaneous image denoising and fusion…
Medical image fusion and denoising algorithm based on a decomposition model of hybrid variation-sparse representation
G Wang, W Li, J Du, B Xiao… - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
… On the one hand, image fusion and denoising algorithms based on VM … simultaneous fusion
and denoising of infrared and visible images [19], a multi-focus image fusion and denoising …
and denoising of infrared and visible images [19], a multi-focus image fusion and denoising …
Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning
… In Section 3, we formulate the dictionary learning, sparse representation, and low-rank …
during image denoising. Hence, we can achieve image fusion and denoising simultaneously by …
during image denoising. Hence, we can achieve image fusion and denoising simultaneously by …
Image fusion with convolutional sparse representation
… We propose a CSR-based image fusion framework, in which each source image is … “Simultaneous
image fusion and denoising with adaptive sparse representation,” IET Image …
image fusion and denoising with adaptive sparse representation,” IET Image …
Image decomposition fusion method based on sparse representation and neural network
L Chang, X Feng, R Zhang, H Huang, W Wang… - Applied Optics, 2017 - opg.optica.org
… images, in most existing sparse representation-based models, fusion and denoising proceed
simultaneously … This paper proposes an image fusion method based on a cartoon + texture …
simultaneously … This paper proposes an image fusion method based on a cartoon + texture …
Multi-modal medical image fusion by Laplacian pyramid and adaptive sparse representation
Z Wang, Z Cui, Y Zhu - Computers in Biology and Medicine, 2020 - Elsevier
… image fusion method is proposed based on Laplacian pyramid (LP) decomposition and
adaptive sparse representation … -frequency information in the image fusion process and it did not …
adaptive sparse representation … -frequency information in the image fusion process and it did not …
Multimodal image fusion with adaptive joint sparsity model
C Zhang, L Yi, Z Feng, Z Gao, X Jin… - … of Electronic imaging, 2019 - spiedigitallibrary.org
… shortcoming of conventional SR-based fusion methods, an adaptive sparse representation
(ASR) model is presented for simultaneous image fusion and denoising. In the ASR model, …
(ASR) model is presented for simultaneous image fusion and denoising. In the ASR model, …
FPRSGF denoised non-subsampled shearlet transform-based image fusion using sparse representation
… of NSST low-pass subbands of multimodal medical images is carried out using sparse
representation technique which is pre-trained by same NSST decomposed training images [14]. …
representation technique which is pre-trained by same NSST decomposed training images [14]. …
An image fusion framework using novel dictionary based sparse representation
N Aishwarya, C Bennila Thangammal - Multimedia Tools and Applications, 2017 - Springer
… Later the same author presented a novel adaptive sparse representation (ASR) model for
simultaneous image fusion and noise removal [20]. This model constructs a compact dictionary …
simultaneous image fusion and noise removal [20]. This model constructs a compact dictionary …