Laser & Optoelectronics Progress, Volume. 51, Issue 7, 71002(2014)
Multiframe Turbulence-Degraded Image Restoration Algorithm Based on Circulate Iteration
A circulate iterative blind deconvolution (CIBD) algorithm to restore turbulence-degraded images in the frequency domain is described, which focus on enhancement of accuracy and rapidity. The accuracy is enhanced by beginning with random frame and gradually increasing new frame to circulate iteration to get satisfactory restoration. Some measures are implemented to improve convergence rate, such as estimated point spread functions (PSF) by correlation matrix, adaptive steplength updating rule, condition of iterative termination and scaled projection gradient strategy. The experimental results of simulation show that the algorithm is efficient to reconstruct the degraded images from remote ground-based observations under different atmospheric turbulence intensities, and its performance is better than traditional multiframe blind deconvolutions (MBDs).
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Shao Hui, Wang Jianye, Wang Liang, Chen Shuai, Zhang Guangyu. Multiframe Turbulence-Degraded Image Restoration Algorithm Based on Circulate Iteration[J]. Laser & Optoelectronics Progress, 2014, 51(7): 71002
Category: Image Processing
Received: Jan. 17, 2014
Accepted: --
Published Online: Jun. 26, 2014
The Author Email: Hui Shao (hui.shao@fds.org.cn)