Super Resolution with Sparse Gradient-Guided Attention and Wavelet Loss for Suppressing Image Structural Distortion-Reference-Cited by-同舟云学术

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Super Resolution with Sparse Gradient-Guided Attention and Wavelet Loss for Suppressing Image Structural Distortion

Published:2022-04-30 Issue:4 Volume:20 Page:107-122
ISSN:1598-8619
Container-title:The Journal of Korean Institute of Information Technology
language:en
Short-container-title:jkiit

Author:

Song Geonhak^ORCID,Yi Hwijong^ORCID,Son Chang-Hwan^ORCID,Choo Hyunseung^ORCID

Funder

Rural Development Administration

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

Korean Institute of Information Technology

Reference29 articles.

1. Lanczos Filtering in One and Two Dimensions

2. Image super-resolution as sparse representation of raw image patches

3. Image Super-Resolution Via Sparse Representation

4. Learning a Deep Convolutional Network for Image Super-Resolution

5. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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1. Hardware Design of Bicubic Scaler using Frequency Conversion Method;The Journal of Korean Institute of Information Technology;2024-07-31

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