CDME: Convolutional Dictionary Iterative Model for Pansharpening With Mixture of Experts
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3545472
Abstract: In this letter, we propose a convolutional dictionary iterative model for pansharpening with a mixture of experts. First, we define an observation model to model the common and unique feature information between multispectral (MS) and… read more here.
Keywords: mixture experts; dictionary iterative; mixture; iterative model ... See more keywords
Image Denoising for Low-Dose CT via Convolutional Dictionary Learning and Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3241546
Abstract: Removing noise and artifacts from low-dose computed tomography (LDCT) is a challenging task, and most existing image-based algorithms tend to blur the results. To improve the resolution of denoising results, we combine convolutional dictionary learning… read more here.
Keywords: neural network; convolutional dictionary; image; dictionary learning ... See more keywords
Slice-Based Online Convolutional Dictionary Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2931914
Abstract: Convolutional dictionary learning (CDL) aims to learn a structured and shift-invariant dictionary to decompose signals into sparse representations. While yielding superior results compared to traditional sparse coding methods on various signal and image processing tasks,… read more here.
Keywords: slice based; based online; dictionary learning; convolutional dictionary ... See more keywords
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3135695
Abstract: In this paper, we propose to extend the standard Convolutional Dictionary Learning problem to a tensor representation where the activations are constrained to be “low-rank” through a Canonical Polyadic decomposition. We show that this additional… read more here.
Keywords: rank; tensor convolutional; convolutional dictionary; low rank ... See more keywords