A novel atmospheric turbulence-degraded image restoration algorithm based on support vector regression

2006 ◽  
Author(s):  
Chun-sheng Liu ◽  
Ming Li
Keyword(s):  
Image Restoration ◽  
Support Vector Regression ◽  
Atmospheric Turbulence ◽  
Support Vector ◽  
Restoration Algorithm ◽  
Degraded Image

scholarly journals A Novel Real-Time Image Restoration Algorithm in Edge Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xingmin Ma ◽  
Shenggang Xu ◽  
Fengping An ◽  
Fuhong Lin
Keyword(s):  
Image Restoration ◽  
Real Time ◽  
Edge Computing ◽  
Support Vector ◽  
Original Image ◽  
Edge Node ◽  
Restoration Algorithm ◽  
Real Time Image ◽  
Degraded Image ◽  
Time Image

Owning to the high processing complexity, the image restoration can only be processed offline and hardly be applied in the real-time production life. The development of edge computing provides a new solution for real-time image restoration. It can upload the original image to the edge node to process in real time and then return results to users immediately. However, the processing capacity of the edge node is still limited which requires a lightweight image restoration algorithm. A novel real-time image restoration algorithm is proposed in edge computing. Firstly, 10 classical functions are used to determine the population size and maximum iteration times of traction fruit fly optimization algorithm (TFOA). Secondly, TFOA is used to optimize the optimal parameters of least squares support vector regression (LSSVR) kernel function, and the error function of image restoration is taken as an adaptive function of TFOA. Thirdly, the LLSVR algorithm is used to restore the image. During the image restoration process, the training process is to establish a mapping relationship between the degraded image and the adjacent pixels of the original image. The relationship is established; the degraded image can be restored by using the mapping relationship. Through the comparison and analysis of experiments, the proposed method can meet the requirements of real-time image restoration, and the proposed algorithm can speed up the image restoration and improve the image quality.

RL turbulence degraded image restoration algorithm based on wavelet transform

2017 ◽  
Vol 32 (10) ◽  
pp. 822-827
Author(s):  
徐晓睿 XU Xiao-rui ◽  
戴 明 DAI Ming ◽  
尹传历 YIN Chuan-li
Keyword(s):  
Wavelet Transform ◽  
Image Restoration ◽  
Restoration Algorithm ◽  
Degraded Image

scholarly journals FPGA-based real-time atmospheric turbulence image restoration algorithm and its implementation

2021 ◽  
Vol 42 (6) ◽  
pp. 1017-1024
Author(s):  
LI Yawei ◽  
◽  
◽  
ZHANG Hong ◽  
WU Lingfan ◽  
...  
Keyword(s):  
Image Restoration ◽  
Real Time ◽  
Atmospheric Turbulence ◽  
Restoration Algorithm

Multiframe Turbulence-Degraded Image Restoration Algorithm Based on Circulate Iteration

2014 ◽  
Vol 51 (7) ◽  
pp. 071002
Author(s):  
邵慧 Shao Hui ◽  
汪建业 Wang Jianye ◽  
王亮 Wang Liang ◽  
陈帅 Chen Shuai ◽  
张光雨 Zhang Guangyu
Keyword(s):  
Image Restoration ◽  
Restoration Algorithm ◽  
Degraded Image
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