Study of GAN-based image reconstruction for diffractive optical systems

被引：3

作者：

Evdokimova, Viktoriia ^{[1
,2
]}

Petrov, Maksim ^{[1
,2
]}

Klyueva, Marina ^{[2
]}

Firsov, Nikita ^{[2
]}

Bibikov, Sergei ^{[1
,2
]}

Skidanov, Roman ^{[1
,2
]}

Popov, Sergei ^{[1
,2
]}

Nikonorov, Artem ^{[1
,2
]}

机构：

[1] RAS, Image Proc Syst Inst, Samara, Russia

[2] Samara Natl Res Univ, Samara, Russia

来源：

2020 VI INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND NANOTECHNOLOGY (IEEE ITNT-2020) | 2020年

关键词：

generative adversarial network; image reconstruction; diffractive lens; reconstruction artifacts;

D O I：

10.1109/ITNT49337.2020.9253168

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In previous works, the generative adversarial network (GAN) was successfully used to remove the image-wise color distortion of images captured by diffractive optics. It showed good image quality for a test sample. However, some reconstruction artifacts were produced by GAN for real scene images. In the paper, we study the nature of these artifacts. We show how overexposure and cross-like markers affect the occurrence of artifacts.

引用

页数：4

共 50 条

[1] GAN-BASED SAR-TO-OPTICAL IMAGE TRANSLATION WITH REGION INFORMATION
Doi, Kento
Sakurada, Ken
Onishi, Masaki
Iwasaki, Akira
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 2069 - 2072
[2] Learning GAN-Based Foveated Reconstruction to Recover Perceptually Important Image Features
Surace, Luca
Wernikowski, Marek
Tursun, Cara
Myszkowski, Karol
Mantiuk, Radoslaw
Didyk, Piotr
ACM TRANSACTIONS ON APPLIED PERCEPTION, 2023, 20 (02)
[3] Unraveling other-race face perception with GAN-based image reconstruction
Shoura, Moaz
Walther, Dirk B.
Nestor, Adrian
BEHAVIOR RESEARCH METHODS, 2025, 57 (04)
[4] SWDGAN: GAN-based sampling and whole image denoising network for compressed sensing image reconstruction
Tian, Ye
Chai, Xiuli
Gan, Zhihua
Lu, Yang
Zhang, Yushu
Song, Shiping
JOURNAL OF ELECTRONIC IMAGING, 2021, 30 (06)
[5] Compact GaN-based optical inclinometer
An, Xiaoshuai
Yang, Hongying
Luo, Yumeng
Wang, Qi
Chu, Zhiqin
Li, Kwai Hei
OPTICS LETTERS, 2022, 47 (05) : 1238 - 1241
[6] A Comparative Analysis of GAN-Based Methods for SAR-to-Optical Image Translation
Zhao, Yitao
Celik, Turgay
Liu, Nanqing
Li, Heng-Chao
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
[7] GAN-BASED SAR TO OPTICAL IMAGE TRANSLATION IN FIRE-DISTURBED REGIONS
Hu, Xikun
Zhang, Puzhao
Ban, Yifang
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1456 - 1459
[8] A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Wang, Xuan
Sun, Lijun
Chehri, Abdellah
Song, Yongchao
REMOTE SENSING, 2023, 15 (20)
[9] GAN-BASED SYNTHETIC GASTROINTESTINAL IMAGE GENERATION
Adjei, Prince E.
Lonsek, Zenebe M.
Rao, Nini
2020 17TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2020, : 338 - 342
[10] Adversarial attacks on GAN-based image fusion
Sun, Hui
Wu, Siman
Ma, Lijun
INFORMATION FUSION, 2024, 108

← 1 2 3 4 5 →