Blind deblurring of noisy and blurry images of multi-scale convolutional neural network

Pengfei, 刘鹏飞 Liu; Huaici, 赵怀慈 Zhao; Feidao, 曹飞道 Cao

doi:10.3788/irla201948.0426001

Cited by 3 publications

(1 citation statement)

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“…The theory is rigorous and can not only solve the problems of stitching and registration, but also improve image deformation caused by lens distortion, platform tremor, etc [10][11][12][13] . At present, the preliminary splicing processing of high-resolution commercial satellite remote sensing images is completed by data suppliers, with very few relevant references [14][15][16] . For the optical cameras of high-resolution commercial satellites such as IKONOS and Quickbird, on the one hand, due to the use of multiple staggered focal plane placement designs, the imaging time delay of adjacent TDI CCD on the same ground object is very short, making the effects of terrain fluctuations and line integration time changes on non collinear TDI CCD imaging negligible; On the other hand, the laboratory calibration of the camera is relatively strict, and the high-precision orbit attitude measurement parameters enable the geometric positioning accuracy of the image without ground control to reach a high level, which makes it possible to meet the splicing requirements with only simple inter slice translation [17][18][19][20] .…”

Section: Introductionmentioning

confidence: 99%

Key techniques for virtual imaging model construction and correction of rotating imaging satellite

Fan,

Zhang

2023

Advanced Optical Imaging Technologies VI

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According to different scenarios and needs, the rotating imaging optical satellite designs three task observation modes such as wide-area coverage, encrypted observation and regional video, the long edge of the camera field of view is placed radially along the turntable, the short edge of the field of view is placed tangentially, the camera pendulum axis is placed along the short side of the field of view, the pendulum mirror can be adjusted in three gears, the satellite adopts nadir pointing, that is, the rotation axis of the turntable is in the direction of the nadiel, the turntable maintains a normal working speed of 24 ° / s, rotates every 15s, and adjusts one gear per rotation of the camera pendulum mirror. After rotating 3 times in 50s, it can cover the range of 5~60° in the direction of nadir direction. The image obtained based on the above mode has rotation misalignment, different angles, abnormal speed imaging, integration time jump, and internal distortion in a single frame image. Therefore, how to perform sensor correction for multi-angle rotating images to achieve continuous, complete and distortion-free restoration is a key scientific problem to be solved in this paper. The purpose of optical satellite sensor correction is to design the imaging payload and imaging mode, realize seamless image stitching, eliminate image distortion caused by lens distortion, CCD distortion, integrated time jump, allospeed imaging and tremor disturbance, and finally obtain continuous, complete and distortion-free high-quality images. In order to obtain high-quality ultra-large wide format optical satellite images without distortion and seamless stitching, the construction and correction method of virtual imaging model for rotating area array mode is studied, and key technologies such as multi-gear virtual large area array CCD design and construction and virtual correction method based on ideal composite motion model are broken through to achieve distortion-free, seamless stitching and highquality restoration compensation, providing comprehensive, accurate and rapid data and information support for subsequent on-orbit remote sensing applications.

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Section: Introductionmentioning

confidence: 99%

Key techniques for virtual imaging model construction and correction of rotating imaging satellite

Fan,

Zhang

2023

Advanced Optical Imaging Technologies VI

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结合多尺度特征融合和多输入多输出编-解码器的去模糊算法

Qian¹,

Dongming²,

Hao³

et al. 2022

红外与激光工程

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Motion-blurry Image Restoration Method for Detecting Surface Defects of Wood Veneer

Yuan

Lou

Cheng

et al. 2022

International Journal of Circuits, Systems and Signal Processing

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The detection of veneer surface defects is of great significance to wood veneer material evaluation, quality control, and product classification in the wood processing. When the high-speed moving veneer image is collected on the conveyor belt, the image appears blurred, making it difficult to accurately identify the defect type and estimate the defect area. To solve this problem, this study compared three image restoration methods including unnatural L0 sparse representation (L0), multi-scale convolutional neural network (MSCNN), and scale-recurrent convolutional neural network (SRCNN). To perform the comparison analysis, a wood veneer image acquisition system was developed and it provided a wood veneer image dataset with 2,080 groups of blur-clear veneer image pairs. Analysis results showed that the SRCNN method performed better than the other two methods. At four different wood moving speeds, the peak signal to noise ratio (PSNR) of the SRCNN was 4.64%, 14.63%, 18.48%, and 25.79%, higher than the other two methods and structural similarity (SSIM) was less than 2%. The average time for this algorithm to restore a blurred wood veneer image was 13.4 s. The findings of this study can lay the foundation for the industrialized detection of wood veneer defects.

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Blind deblurring of noisy and blurry images of multi-scale convolutional neural network

Cited by 3 publications

References 0 publications

Key techniques for virtual imaging model construction and correction of rotating imaging satellite

Key techniques for virtual imaging model construction and correction of rotating imaging satellite

结合多尺度特征融合和多输入多输出编-解码器的去模糊算法

Motion-blurry Image Restoration Method for Detecting Surface Defects of Wood Veneer

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