Imperial College London
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ProfessorPier LuigiDragotti

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6192p.dragotti

 
 
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Location

 

814Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Deng:2020:10.1109/ICCV.2019.00317,
author = {Deng, X and Yang, R and Xu, M and Dragotti, PL},
doi = {10.1109/ICCV.2019.00317},
pages = {3076--3085},
publisher = {IEEE COMPUTER SOC},
title = {Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution},
url = {http://dx.doi.org/10.1109/ICCV.2019.00317},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - In single image super-resolution (SISR), given a low-resolution (LR) image, one wishes to find a high-resolution (HR) version of it which is both accurate and photorealistic. Recently, it has been shown that there exists a fundamental tradeoff between low distortion and high perceptual quality, and the generative adversarial network (GAN) is demonstrated to approach the perception-distortion (PD) bound effectively. In this paper, we propose a novel method based on wavelet domain style transfer (WDST), which achieves a better PD tradeoff than the GAN based methods. Specifically, we propose to use 2D stationary wavelet transform (SWT) to decompose one image into low-frequency and high-frequency sub-bands. For the low-frequency sub-band, we improve its objective quality through an enhancement network. For the high-frequency sub-band, we propose to use WDST to effectively improve its perceptual quality. By feat of the perfect reconstruction property of wavelets, these sub-bands can be re-combined to obtain an image which has simultaneously high objective and perceptual quality. The numerical results on various datasets show that our method achieves the best trade-off between the distortion and perceptual quality among the existing state-of-the-art SISR methods.
AU  - Deng,X
AU  - Yang,R
AU  - Xu,M
AU  - Dragotti,PL
DO  - 10.1109/ICCV.2019.00317
EP  - 3085
PB  - IEEE COMPUTER SOC
PY  - 2020///
SN  - 1550-5499
SP  - 3076
TI  - Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution
UR  - http://dx.doi.org/10.1109/ICCV.2019.00317
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000531438103023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ieeexplore.ieee.org/document/9008402
UR  - http://hdl.handle.net/10044/1/83682
ER  -
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