DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus-Reference-Cited by-同舟云学术

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DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus

Published:2023-08 Issue:8 Volume:45 Page:9611-9626
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Xing Qunliang¹^ORCID,Xu Mai²^ORCID,Deng Xin³^ORCID,Guo Yichen²^ORCID

Affiliation:

1. School of Electronic Information Engineering and Shen Yuan Honors College, Beihang University, Beijing, China

2. School of Electronic Information Engineering, Beihang University, Beijing, China

3. School of Cyber Science and Technology, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10169863/10073543.pdf?arnumber=10073543

Reference73 articles.

1. D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

2. HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment

3. Building Dual-Domain Representations for Compression Artifacts Reduction

4. Semantic Image Synthesis With Spatially-Adaptive Normalization

5. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

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