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A method of image restoration technology based on parallel phase diversity algorithm

机译:一种基于并行相位分集算法的图像恢复技术方法

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Although the phase diversity method is an effective way to detect wave-front and restore image, it is difficult to beachieve its real time application on DSP or FPGA. The main of disadvantage of method is a great computation when it isused to estimate the wave-front phase aberration and restore the degraded images. In this paper, a parallel phasediversity method is deeply researched and the expression of the evaluation function is further clarified according thetheory of Nijboer-Zernike polynomial. An outdoor image restoration verification system is established. The structure ofan ordinary telescope is modified, so that it can acquire two images on the focal plane and the out-of-focus plane of theimaging system. The image objects are a chessboard at a distance of 1.1km and a worker in a construction site at adistance of 4.5km outside the laboratory window. The results indicate that the restoration image has a higher resolution.No-reference assessment methods are adopted to evaluate the quality of images. The FI value of restoration image ofchessboard improved 1.478 times, and the LS value improved 2.178 times. The FI value of restoration image of workerimproved 4.227 times, and the LS value improved 1.623 times.
机译:虽然相位分集方法是检测波前和恢复图像的有效方法,但很难成为在DSP或FPGA上实现其实时应用。方法的缺点主要是巨大的计算用于估计波前相位像差并恢复降级的图像。在本文中,平行阶段深入研究了多样性方法,并进一步阐明了评价功能的表达Nijboer-Zernike多项式理论。建立了户外图像恢复验证系统。结构的结构修改了普通的望远镜,使得它可以在焦平面上获得两个图像和焦平面上的两个图像和焦点平面成像系统。图像对象是一个棋盘,距离1.1km,施工现场的工作人员在实验室窗外4.5km的距离。结果表明恢复图像具有更高的分辨率。采用无参考评估方法来评估图像的质量。恢复图像的文件棋盘改善1.478次,LS值提高了2.178倍。工作人员恢复形象的限定改进了4.227倍,LS值改善了1.623倍。

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