DocumentCode :
3111183
Title :
Microarray Image Restoration Using Blind Deconvolution
Author :
Manjunath, S.S. ; Dappin, Satish G. ; Sahana, B. ; Rangarajan, Lalitha
Author_Institution :
Dept. of Comput. Sci. & Eng., Dayananda Sagar Coll. of Eng., Bangalore, India
fYear :
2009
fDate :
16-18 Dec. 2009
Firstpage :
94
Lastpage :
98
Abstract :
DNA microarray technology has promised a very accelerating research inclination in recent years. In this paper, we propose image restoration of microarray images using blind deconvolution method. The proposed approach consists of two models the first model discuss about finding the type of noise present in the image and the second model to remove the noise present in the image. The proposed algorithm makes use of blind deconvolution to restore the image. Performance analysis is done to measure the efficiency by which image is recovered. The algorithm uses peak signal to noise ratio and mean squared error to quantify the degree of degradation.
Keywords :
image denoising; image restoration; lab-on-a-chip; mean square error methods; DNA microarray technology; blind deconvolution; image noise removal; mean squared error; microarray image restoration; Computer science; Data mining; Deconvolution; Educational institutions; Image color analysis; Image motion analysis; Image restoration; Image segmentation; Image texture analysis; Noise reduction; Blind deconvolution; Mean Squared Error; Microarray; Peak Signal to Noise Ratio; Probability density function and Point spread function; Restoration; Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Multimedia Technology, 2009. ICIMT '09. International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-0-7695-3922-5
Type :
conf
DOI :
10.1109/ICIMT.2009.31
Filename :
5381237
Link To Document :
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