Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray

doi:10.1109/ACCESS.2019.2891759

	Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray
	Gan, Zhenhua 1; Zou, Fumin 1,2; Zeng, Nianyin 3; Xiong, Baoping 2,4; Liao, Lyuchao 1; Li, Han 3; Luo, Xin5,6 ; Du, Min 4
刊名	IEEE ACCESS
	2019
卷号	7 页码:13338-13346
关键词	Compressed sensing wavelet denoising DNA microarray image filtering NDOA
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2891759
通讯作者	Zeng, Nianyin(zny@xmu.edu.cn) ; Luo, Xin(luoxin21@cigit.ac.cn)
英文摘要	A microarray can be easily used for quantitatively analyzing the expression levels of DNA genes. Yet, the noises introduced during the application will greatly affect the accuracy of DNA sequence detection. How to reduce the noise constitutes a challenging problem in microarray analysis. Especially, due to the weak fluorescence response, the image of microarray contains difficulties of the low peak-signal-to-noise ratio (PSNR) and luminance contrast. To solve the problem that the wavelet threshold denoising method has poor effective on low PSNR image, a wavelet denoising approach based on compression sensing (CS) optimized by the neural dynamics optimization algorithm (NDOA) is proposed, which preferably solves the denoising difficulties of noise pollution in the microarray image. Under the condition of Gaussian random observation matrix, the effectiveness of NDOA-optimized wavelet denoising based on CS gets better work than the orthogonal matching pursuit and its improved algorithms. The experimental results indicate that the expected wavelet coefficients of the noiseless image have been reconstructed with higher quality. When the compression sampling rate for microarray image is 0.875, the PSNR of the NDOA-optimized wavelet denoising algorithm based on CS is increased about 9 dB, and the root mean squared error is reduced obviously too, in comparison with the wavelet soft-threshold denoising method. It shows that the NDOA-optimized method improves the performance of the classical wavelet threshold denoising.
资助项目	Natural Science Foundation of China[41471333] ; Science and Technology Project in the Fujian Province Education Department[JT180344] ; Science and Technology Project in the Fujian Province Education Department[JT180320] ; Scientific Fund Projects in the Fujian University of Technology[GY-Z18081] ; Scientific Fund Projects in the Fujian University of Technology[GY-Z17151] ; Scientific Fund Projects in the Fujian University of Technology[GY-Z17144] ; Fujian Provincial Key Laboratory of Eco-Industrial Green Technology ; U.K.-China Industry Academia Partnership Programme[UK-CIAPP-276]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000458796400003
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/7456]
专题	中国科学院重庆绿色智能技术研究院
通讯作者	Zeng, Nianyin; Luo, Xin
作者单位	1.Fujian Univ Technol, Key Lab Automot Elect & Elect Drive Technol Fujia, Fuzhou 350118, Fujian, Peoples R China 2.Fujian Univ Technol, Beidou Nav & Smart Traff Innovat Ctr Fujian Prov, Fuzhou 350118, Fujian, Peoples R China 3.Xiamen Univ, Dept Instrumental & Elect Engn, Xiamen 361005, Peoples R China 4.Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350116, Fujian, Peoples R China 5.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Engn Res Ctr Big Data Applicat Smart Ci, Chongqing 400714, Peoples R China 6.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China
推荐引用方式 GB/T 7714	Gan, Zhenhua,Zou, Fumin,Zeng, Nianyin,et al. Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray[J]. IEEE ACCESS,2019,7:13338-13346.
APA	Gan, Zhenhua.,Zou, Fumin.,Zeng, Nianyin.,Xiong, Baoping.,Liao, Lyuchao.,...&Du, Min.(2019).Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray.IEEE ACCESS,7,13338-13346.
MLA	Gan, Zhenhua,et al."Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray".IEEE ACCESS 7(2019):13338-13346.