Light Weight IBP Deep Residual Network for Image Super Resolution

Single -image super resolution (SR) is used to reconstruct a high-resolution image with more high-frequency details based on a low-resolution image as input. In recent years, image SR reconstruction based on deep learning methods has shown a considerably better performance than traditional methods....

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Bibliografiske detaljer

Principais autores:	Hai Lin, Junjie Yang
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2021-01-01
Serier:	IEEE Access
Fag:	Image SR residual network light-weight convolutional neural network
Online adgang:	https://ieeexplore.ieee.org/document/9462845/
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