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Automatic colourization of grayscale images based on tensor decomposition

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0 Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-5419-x

Abstract: In this paper a colourizing technique based on some tensor properties is proposed. Toward this goal, it is clarified that tensor decomposition possesses the ability of extracting and gathering overall colour information. The methodology considers… read more here.

Keywords: colour information; based tensor; tensor decomposition;

Multi-exposure image fusion based on tensor decomposition

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0 Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-09131-x

Abstract: In this paper, a multi-exposure image fusion (MEF) method is proposed based on tensor decomposition and saliency model. The main innovation of the proposed method is to explore a tensor domain for MEF and define… read more here.

Keywords: based tensor; image; tensor; multi exposure ... See more keywords

Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection

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1 Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2019.2962582

Abstract: Nowadays, deep learning (DM) and tensor theory have become research hotspot in hyperspectral images (HSIs) processing. In this letter, transferred convolutional neural network (CNN) based on tensor (TCNNT) is proposed for hyperspectral anomaly detection (AD).… read more here.

Keywords: tensor; hyperspectral anomaly; anomaly detection; cnn based ... See more keywords

Fractional Fourier Transform and Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection

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1 Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3072249

Abstract: Most of the algorithms for hyperspectral anomaly detection (AD) are based on the original spectral signatures which may suffer noise contamination. In recent years, some AD algorithms based on deep learning (DL) and tensor have… read more here.

Keywords: based tensor; hyperspectral anomaly; anomaly detection; transferred cnn ... See more keywords

A Fast Tensor Completion Method Based on Tensor QR Decomposition and Tensor Nuclear Norm Minimization

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1 Published in 2021 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2021.3130977

Abstract: Currently, the tensor completion problem has been paid high attention in the machine learning, especially in the field of computer vision and image processing. The low-rank tensor completion methods based on the tensor singular value… read more here.

Keywords: completion; tensor completion; based tensor; nuclear norm ... See more keywords