A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media

Uneven water-air media distribution or irregular liquid flow can cause changes in light propagation, leading to blurring and distortion of the extracted image, which presents a challenge for object recognition accuracy. To address these issues, this paper proposes a repair network to correct object...

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Main Authors: Yuhe Gao, Jishen Jia, Lei Cai, Meng Zhou, Haojie Chai, Jinze Jia
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:http://dx.doi.org/10.1155/2024/8442383
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author Yuhe Gao
Jishen Jia
Lei Cai
Meng Zhou
Haojie Chai
Jinze Jia
author_facet Yuhe Gao
Jishen Jia
Lei Cai
Meng Zhou
Haojie Chai
Jinze Jia
author_sort Yuhe Gao
collection DOAJ
description Uneven water-air media distribution or irregular liquid flow can cause changes in light propagation, leading to blurring and distortion of the extracted image, which presents a challenge for object recognition accuracy. To address these issues, this paper proposes a repair network to correct object image distortion in water-air cross-media. Firstly, convolutional combination performs feature extraction on water-air cross-media images, which retains the same features at the same scale and marks feature points with large differences. Then, an attention correction module for geometric lines is proposed to correct geometric lines in water-air cross-media images by comparing and sensing the marked feature points with large differences and utilizing the line similarity in positive and negative samples. Finally, the blurring artifact elimination module eliminates artifacts caused by image blurring and geometric line correction by using multiscale fusion of individual U-Net information streams. This completes the image restoration of object distortion under water-air cross-media. The proposed method is feasible and effective for restoring aberrated objects in water-air cross-media environments, with numerous experiments conducted on water-air cross-media image datasets.
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publishDate 2024-01-01
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series International Journal of Distributed Sensor Networks
spelling doaj-art-29b4494dcbb3468c91c3009fbe9e19ad2025-08-20T03:17:40ZengWileyInternational Journal of Distributed Sensor Networks1550-14772024-01-01202410.1155/2024/8442383A Method of Image Restoration for Distortion of Object in Water-Air Cross-MediaYuhe Gao0Jishen Jia1Lei Cai2Meng Zhou3Haojie Chai4Jinze Jia5School of Mathematical SciencesSchool of Mathematical SciencesSchool of Artificial IntelligenceSchool of Mathematical SciencesSchool of Artificial IntelligenceSchool of ManagementUneven water-air media distribution or irregular liquid flow can cause changes in light propagation, leading to blurring and distortion of the extracted image, which presents a challenge for object recognition accuracy. To address these issues, this paper proposes a repair network to correct object image distortion in water-air cross-media. Firstly, convolutional combination performs feature extraction on water-air cross-media images, which retains the same features at the same scale and marks feature points with large differences. Then, an attention correction module for geometric lines is proposed to correct geometric lines in water-air cross-media images by comparing and sensing the marked feature points with large differences and utilizing the line similarity in positive and negative samples. Finally, the blurring artifact elimination module eliminates artifacts caused by image blurring and geometric line correction by using multiscale fusion of individual U-Net information streams. This completes the image restoration of object distortion under water-air cross-media. The proposed method is feasible and effective for restoring aberrated objects in water-air cross-media environments, with numerous experiments conducted on water-air cross-media image datasets.http://dx.doi.org/10.1155/2024/8442383
spellingShingle Yuhe Gao
Jishen Jia
Lei Cai
Meng Zhou
Haojie Chai
Jinze Jia
A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media
International Journal of Distributed Sensor Networks
title A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media
title_full A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media
title_fullStr A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media
title_full_unstemmed A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media
title_short A Method of Image Restoration for Distortion of Object in Water-Air Cross-Media
title_sort method of image restoration for distortion of object in water air cross media
url http://dx.doi.org/10.1155/2024/8442383
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