Investigation on the blurred image restoration based on brain‐inspired model
Abstract Though relatively good effect has been achieved by the image de‐blurring method based on deep learning, the existing methods still suffer from the problem of unclear restoration of the edges. Therefore, brain‐inspired image restoration model based on human attention and “fine vision” is pro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12612 |
| _version_ | 1828010125533642752 |
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| author | Meng Xiangyan Zhao Chen Zhao Li Yan Keding Ren Yumiao Pan Haixian |
| author_facet | Meng Xiangyan Zhao Chen Zhao Li Yan Keding Ren Yumiao Pan Haixian |
| author_sort | Meng Xiangyan |
| collection | DOAJ |
| description | Abstract Though relatively good effect has been achieved by the image de‐blurring method based on deep learning, the existing methods still suffer from the problem of unclear restoration of the edges. Therefore, brain‐inspired image restoration model based on human attention and “fine vision” is proposed to improve the blind restoration quality of the image in this paper according to the response mechanism of the different cerebral cortices for high and low spatial resolutions. The designed brain‐inspired model consists of dual‐channel network available to realize the function of feature merger for low and high resolutions, which is used to extract the image edges with detailed information filtered out. Confirmatory experiment is implemented based on the blurred image in the data set of GOPRO, LIVE and set14. As per the result, the model proposed is available for relatively good restoration of blurred image and super‐resolution, as well as looking results by visual inspection. |
| first_indexed | 2024-04-10T08:50:27Z |
| format | Article |
| id | doaj.art-a59efc32efb14acc9d914d7d09e5be91 |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-10T08:50:27Z |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-a59efc32efb14acc9d914d7d09e5be912023-02-22T04:16:55ZengWileyIET Image Processing1751-96591751-96672023-01-01171122310.1049/ipr2.12612Investigation on the blurred image restoration based on brain‐inspired modelMeng Xiangyan0Zhao Chen1Zhao Li2Yan Keding3Ren Yumiao4Pan Haixian5Electronic Engineering Institute Xi'an Technological University Xi'an Shaanxi ChinaElectronic Engineering Institute Xi'an Technological University Xi'an Shaanxi ChinaElectronic Engineering Institute Xi'an Technological University Xi'an Shaanxi ChinaElectronic Engineering Institute Xi'an Technological University Xi'an Shaanxi ChinaElectronic Engineering Institute Xi'an Technological University Xi'an Shaanxi ChinaElectronic Engineering Institute Xi'an Technological University Xi'an Shaanxi ChinaAbstract Though relatively good effect has been achieved by the image de‐blurring method based on deep learning, the existing methods still suffer from the problem of unclear restoration of the edges. Therefore, brain‐inspired image restoration model based on human attention and “fine vision” is proposed to improve the blind restoration quality of the image in this paper according to the response mechanism of the different cerebral cortices for high and low spatial resolutions. The designed brain‐inspired model consists of dual‐channel network available to realize the function of feature merger for low and high resolutions, which is used to extract the image edges with detailed information filtered out. Confirmatory experiment is implemented based on the blurred image in the data set of GOPRO, LIVE and set14. As per the result, the model proposed is available for relatively good restoration of blurred image and super‐resolution, as well as looking results by visual inspection.https://doi.org/10.1049/ipr2.12612 |
| spellingShingle | Meng Xiangyan Zhao Chen Zhao Li Yan Keding Ren Yumiao Pan Haixian Investigation on the blurred image restoration based on brain‐inspired model IET Image Processing |
| title | Investigation on the blurred image restoration based on brain‐inspired model |
| title_full | Investigation on the blurred image restoration based on brain‐inspired model |
| title_fullStr | Investigation on the blurred image restoration based on brain‐inspired model |
| title_full_unstemmed | Investigation on the blurred image restoration based on brain‐inspired model |
| title_short | Investigation on the blurred image restoration based on brain‐inspired model |
| title_sort | investigation on the blurred image restoration based on brain inspired model |
| url | https://doi.org/10.1049/ipr2.12612 |
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