Cited By
View all- Jiang NZhang YYan FFu XKong T(2024)Image blind motion deblurring method with longitudinal channel and wavelet dynamic convolutionComputers and Graphics10.1016/j.cag.2023.08.022116:C(275-286)Online publication date: 4-Mar-2024
Multi-scale recursive codec network with authority parameters (MRCN-AP) for RFID multi-label deblurring
Pages 32149 - 32169
Abstract
The dynamic non-uniform blur caused by Radio Frequency Identification (RFID) multi-label motion seriously affects the identification and location of labels. It is an ill-posed inverse problem for that the blur kernel and sharp image are unknown. The traditional method of removing the blur is very time-consuming. In this work, we propose Multi-scale Recursive Codec Network based on the Authority Parameter (MRCN-AP) to deblur RFID multi-label images in a vision-based RFID multi-label 3D measurement system. This network is composed of a stack of three encoder-decoder subnets of different scales, which restores the blurry image in an end-to-end manner, and extracts the detail edge on each scale effectively from coarse to fine. The proposed authority parameters reduce the parameters memory of redundant networks and improve the speed of the deblurring network. Also, we propose new large-scale RFID multi-label blur-sharp image pairs captured by the dual CCD camera. The proposed model is implemented on an extended dataset. We prove that our method improves the speed by at least 0.55 s, and also increases Peak Signal to Noise Ratio (PSNR) by 2.43dB. Besides, better visual effects are obtained by MRCN-AP deblurring network for RFID multi-label image, which is more conducive to subsequent positioning and optimization.
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© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.
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Publication History
Published: 01 September 2021
Accepted: 05 July 2021
Revision received: 13 January 2021
Received: 08 September 2020
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- National Natural Science Foundation of China
- Fund Project of Jiangsu Engineering Laboratory for Lake Environment Remote Sensing Technologies
- Postdoctoral Research Foundation of China
- Six Talent Peaks Project in Jiangsu Province
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View all- Jiang NZhang YYan FFu XKong T(2024)Image blind motion deblurring method with longitudinal channel and wavelet dynamic convolutionComputers and Graphics10.1016/j.cag.2023.08.022116:C(275-286)Online publication date: 4-Mar-2024
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