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Blurred defocused image Restoration Based on FRFT

Wuhan University Journal of Natural Sciences 2007年第3期12卷 496-500页

作者： YANG Wentao FENG Zhuoming LIU Weizhong ZOU Xuecheng Institute of Information Science Huazhong University of Science and Technology Wuhan 430074 Hubei China

A technique for restoring the blurred image resulted from defocusing of the lens is proposed in this paper, which is based on fractional Fourier transform （FRFT）.The FRFT, as a powerful tool for the analysis of time-varying signals, is closely connected with the optical imaging system. FRFT also can describe optical imaging process just like Fresnel diffractions, so a defocused imaging model based on FRFT is established to explain the blur phenomena of defocusing image. The defocused imaging model is greatly different from the traditional point spread function （PSF） model, and enables to uncover the blur nature of non-focus image. Then, an image restoration method using the novel model is proposed to handle the blurred defocused image. The method adopted a new iterative phase retrieval approach which can approximately estimate phase signals from intensity signals of a single defocused image by means of FRFT. Restoring image may acquire sharp image by implementing inverse FRFT on complex image signal made from the estimated phase signals and intensity signals. Experimental results demonstrate that the method is effective in restoring blurred defocused image.

关键词： fractional Fourier transformation fractional order phase retrieval defocused image

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维普期刊数据库

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image defocus deblurring method based on gradient difference of boundary neighborhood

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Virtual Reality & Intelligent Hardware 2023年第6期5卷 538-549页

作者： Junjie TAO Yinghui WANG Haomiao MA Tao YAN Lingyu AI Shaojie ZHANG Wei LI School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China School of Computer Science Shaanxi Normal UniversityXi’an 710119China School of Internet of Things Engineering Jiangnan UniversityWuxi 214122China

Background For static scenes with multiple depth layers,existing defocused image deblurring methods have the problems of edge-ringing artifacts or insufficient deblurring owing to inaccurate estimation of the blur amount,and prior knowledge in nonblind deconvolution is not strong,which leads to image detail recovery *** To this end,this study proposes a blur map estimation method for defocused images based on the gradient difference of the boundary neighborhood,which uses the gradient difference of the boundary neighborhood to accurately obtain the amount of blurring,thereby preventing boundary ringing *** obtained blur map is then used for blur detection to determine whether the image needs to be deblurred,thereby improving the efficiency of deblurring without manual intervention and ***,a nonblind deconvolution algorithm was designed to achieve image deblurring based on the blur amount selection strategy and sparse *** Experimental results showed that our method improves PSNR(Peak Signal-to-Noise Ratio)and SSIM(Structural Similarity Index)by an average of 4.6%and 7.3%,respectively,compared to existing *** Experimental results showed that the proposed method outperforms existing *** to existing methods,our method can better solve the problems of boundary ringing artifacts and detail information preservation in defocused image deblurring.

关键词： defocused image Deblurring Gradient Boundary neighborhood Blur amount estimation

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Study on Focusing of Area Array Camera by Using Frequency of images

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Optics and Photonics Journal 2021年第8期11卷 394-401页

作者： Lina Ma Chongyang Li Dongjie Wang Yinglong Zhao Zhongrui Jin Zhiyuan Liu Beijing Institute of Space Mechanics & Electricity Beijing China

Focusing of an area array camera is an important step in making a high precision imaging camera. Its testing method needs special study. In this paper, a method of camera focusing is introduced. The defocusing depth of camera is calculated by using the frequency spectrum of defocused image. This method is especially suitable for the focusing of the Planar Array Camera, and avoids the complicated work of adjusting the focus plane of the planar array camera in the focusing process.

关键词： Focusing of a Area Array Camera Frequency of images defocused image

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Study on Focusing of Area Array Camera by Using Frequency of images

Study on Focusing of Area Array Camera by Using Frequency of...

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作者： Lina Ma Chongyang Li Dongjie Wang Yinglong Zhao Zhongrui Jin Zhiyuan Liu Beijing Institute of Space Mechanics ＆ Electricity

关键词： Focusing of a Area Array Camera Frequency of images defocused image

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