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Real-time blind deconvolution of retinal images in adaptive optics scanning laser ophthalmoscopy
Li H; Lu J; Shi GH; Zhang YD; Li H (Li Hao)
Source PublicationOPTICS COMMUNICATIONS
Volume284Issue:13Pages:3258-3263
2011
Language英语
Subtype期刊论文
AbstractWith the use of adaptive optics (AO), the ocular aberrations can be compensated to get high-resolution image of living human retina. However, the wavefront correction is not perfect due to the wavefront measure error and hardware restrictions. Thus, it is necessary to use a deconvolution algorithm to recover the retinal images. In this paper, a blind deconvolution technique called Incremental Wiener filter is used to restore the adaptive optics confocal scanning laser ophthalmoscope (AOSLO) images. The point-spread function (PSF) measured by wavefront sensor is only used as an initial value of our algorithm. We also realize the Incremental Wiener filter on graphics processing unit (GPU) in real-time. When the image size is 512 x 480 pixels, six iterations of our algorithm only spend about 10 ms. Retinal blood vessels as well as cells in retinal images are restored by our algorithm, and the PSFs are also revised. Retinal images with and without adaptive optics are both restored. The results show that Incremental Wiener filter reduces the noises and improve the image quality. (C) 2011 Elsevier B.V. All rights reserved.; With the use of adaptive optics (AO), the ocular aberrations can be compensated to get high-resolution image of living human retina. However, the wavefront correction is not perfect due to the wavefront measure error and hardware restrictions. Thus, it is necessary to use a deconvolution algorithm to recover the retinal images. In this paper, a blind deconvolution technique called Incremental Wiener filter is used to restore the adaptive optics confocal scanning laser ophthalmoscope (AOSLO) images. The point-spread function (PSF) measured by wavefront sensor is only used as an initial value of our algorithm. We also realize the Incremental Wiener filter on graphics processing unit (GPU) in real-time. When the image size is 512 x 480 pixels, six iterations of our algorithm only spend about 10 ms. Retinal blood vessels as well as cells in retinal images are restored by our algorithm, and the PSFs are also revised. Retinal images with and without adaptive optics are both restored. The results show that Incremental Wiener filter reduces the noises and improve the image quality. (C) 2011 Elsevier B.V. All rights reserved.
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/6215
Collection自适应光学技术研究室(八室)
Corresponding AuthorLi H (Li Hao)
Affiliation中国科学院光电技术研究所
Recommended Citation
GB/T 7714
Li H,Lu J,Shi GH,et al. Real-time blind deconvolution of retinal images in adaptive optics scanning laser ophthalmoscopy[J]. OPTICS COMMUNICATIONS,2011,284(13):3258-3263.
APA Li H,Lu J,Shi GH,Zhang YD,&Li H .(2011).Real-time blind deconvolution of retinal images in adaptive optics scanning laser ophthalmoscopy.OPTICS COMMUNICATIONS,284(13),3258-3263.
MLA Li H,et al."Real-time blind deconvolution of retinal images in adaptive optics scanning laser ophthalmoscopy".OPTICS COMMUNICATIONS 284.13(2011):3258-3263.
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