Tensor Completion Network for Visual Data

Tensor completion aims at filling in the missing elements of an incomplete tensor based on its partial observations, which is a popular approach for image inpainting. Most existing methods for visual data recovery can be categorized into traditional optimization-based and neural network-based method...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 73; S. 386 - 400
Hauptverfasser:	Wang, Xiang-Yu, Li, Xiao-Peng, Sidiropoulos, Nicholas D., So, Hing Cheung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Coders Color imagery CP decomposition Data recovery Decoding Embedding encoder-decoder neural network Hyperspectral imaging Ill posed problems image inpainting Image restoration Matrix converters Matrix decomposition Neural networks Signal processing algorithms Tensor completion Tensors unrolling Vectors Videos visual data recovery Visual observation Visualization
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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