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Pattern Recognition and Image Analysis
Erschienen in: Pattern Recognition and Image Analysis 3/2020

01.07.2020 | APPLIED PROBLEMS

Deep ResNet Based Remote Sensing Image Super-Resolution Reconstruction in Discrete Wavelet Domain

verfasst von: Q. Qin, J. Dou, Z. Tu

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 3/2020

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Abstract

We present a single-image super-resolution (SR) method for Remote Sensing Image based on deep learning within Discrete Wavelet Domain in this paper. Our method is inspired Residual Learning. Firstly, an input image is decomposed by single level 2D Discrete wavelet transform to get four sub-bands. The four sub-bands coefficients are feeding into the Deep Learning Residual Network to predict correspondingly residual images; Adding four sub-band images and residual images as the new sub-bands of 2D wavelet transform; Finally, uses the inverse 2D Discrete wavelet transform to get the final output Super Resolution HR image. Our proposed method performs better than existing methods in accuracy and visual improvements in our results are easily noticeable.
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Metadaten
Titel
Deep ResNet Based Remote Sensing Image Super-Resolution Reconstruction in Discrete Wavelet Domain
verfasst von
Q. Qin
J. Dou
Z. Tu
Publikationsdatum
01.07.2020
Verlag
Pleiades Publishing
Erschienen in
Pattern Recognition and Image Analysis / Ausgabe 3/2020
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661820030232

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