Multi-Modal Convolutional Dictionary Learning

Convolutional dictionary learning has become increasingly popular in signal and image processing for its ability to overcome the limitations of traditional patch-based dictionary learning. Although most studies on convolutional dictionary learning mainly focus on the unimodal case, real-world image...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 31; pp. 1325 - 1339
Main Authors:	Gao, Fangyuan, Deng, Xin, Xu, Mai, Xu, Jingyi, Dragotti, Pier Luigi
Format:	Journal Article
Language:	English
Published:	United States IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms convolutional sparse coding Deep learning Dictionaries Fourier transforms image denoising Image processing Infrared imagery Machine learning Memory management Multi-modal dictionary learning Noise level Paints Representations Signal processing Toy manufacturing industry Training
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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