Multi-mode images denoising algorithm for further improving the accuracy of oxygen saturation calculation in the retinal oximetry

doi:10.1109/CompComm.2017.8322861

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 自适应光学技术研究室（八室）

	Multi-mode images denoising algorithm for further improving the accuracy of oxygen saturation calculation in the retinal oximetry
	Xian, Yongli 1,2,3,4; Dai, Yun 1,3
	2018-03-22
会议日期	December 13, 2017 - December 16, 2017
会议地点	Chengdu, China
关键词	Edge detection Hemoglobin oxygen saturation Image denoising Ophthalmology Oxygen
DOI	10.1109/CompComm.2017.8322861
页码	1861-1867
英文摘要	Image noise can dramatically affect image processing and hemoglobin oxygen saturation (SO2) calculation accuracy in non-invasive retinal oximetry. Recently, the denoising algorithm based on Variance stabilizing transform (VST) and dual domain filter (DDID) has been proposed to address this issue by our lab. Actually, dual-wavelength retinal images belong to multi-mode images, in order to maximize the use of complementary information at the edges of dual-wavelength images and further reduce the calculation error of SO2, we improve the previous algorithm. Firstly, noise parameters were also estimated by mixed Poisson-Gaussian (MPG) noise model. Secondly, a novel MPG denoising algorithm which we called VST+CDDID was proposed based on VST and cross dual domain filter. To evaluate the proposed algorithm, both simulative and real experiments have been carried out and the results show that the proposed method can effectively remove MPG noise and preserve edge details. Compared with VST+DDID, the proposed method shows great advantage in terms of PSNR, SSIM and visual quality. The following simulation and analysis indicate that the images denoised by VST+CDDID can provide more accurate grayscale values than the images denoised by VST+DDID for retinal oximetry. © 2017 IEEE.
会议录	2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017
文献子类	C
语种	英语
内容类型	会议论文
源URL	[http://ir.ioe.ac.cn/handle/181551/9120]
专题	光电技术研究所_自适应光学技术研究室（八室）
作者单位	1.Chinese Academy of Sciences, Key Laboratory of Adaptive Optics, Chengdu, China; 2.School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China; 3.Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu, China; 4.University of Chinese Academy of Sciences, Chengdu, China
推荐引用方式 GB/T 7714	Xian, Yongli,Dai, Yun. Multi-mode images denoising algorithm for further improving the accuracy of oxygen saturation calculation in the retinal oximetry[C]. 见:. Chengdu, China. December 13, 2017 - December 16, 2017.