Wavelet-Integrated Deep Networks for Single Image Super-Resolution

Wavelet-Integrated Deep Networks for Single Image Super-Resolution

We propose a scale-invariant deep neural network model based on wavelets for single image super-resolution (SISR). The wavelet approximation images and their corresponding wavelet sub-bands across all predefined scale factors are combined to form a big training data set. Then, mappings are determine...

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Bibliographic Details
Main Authors: Faisal Sahito, Pan Zhiwen, Junaid Ahmed, Raheel Ahmed Memon
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Electronics
Subjects:
wavelet analysis
deep learning
super-resolution
deep neural architecture
pattern mining
multi-scale analysis
Online Access:https://www.mdpi.com/2079-9292/8/5/553

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