Residual Dense Network for Image Restoration

Recently, deep convolutional neural network (CNN) has achieved great success for image restoration (IR) and provided hierarchical features at the same time. However, most deep CNN based IR models do not make full use of the hierarchical features from the original low-quality images; thereby, resulti...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 43; číslo 7; s. 2480 - 2495
Hlavní autori:	Zhang, Yulun, Tian, Yapeng, Kong, Yu, Zhong, Bineng, Fu, Yun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks compression artifact reduction Feature extraction hierarchical features Image coding Image compression image deblurring Image denoising Image quality Image resolution Image restoration image super-resolution Noise reduction Residual dense network Task analysis Training
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
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