Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i37/147036
Year: 2019, Volume: 12, Issue: 37, Pages: 1-15
Original Article
S. Elavaar Kuzhali1* and D. S. Suresh2
1Department of Electronics and Instrumentation Engineering, Ramaiah Institute of Technology, Bangalore – 560054, Karnataka, India; [email protected] 2Channabasaveshwara Institute of Technology, Gubbi, Tumkur – 572216, Karnataka, India; [email protected]
*Author for correspondence
S. Elavaar Kuzhali
1Department of Electronics and Instrumentation Engineering, Ramaiah Institute of Technology, Bangalore – 560054, Karnataka, India; [email protected]
Background/Objectives: This study presents an external and internal prior guided patch based filter for minimizing Gaussian noise in complementary deoxyribonucleic acid (cDNA) microarray images. Methods/Statistical analysis: The proposed denoising filter is capable of taking into consideration both external and internal prior. It employs combined prior guided patch based denoising considering various distance based patch-matching methods. Findings: Experimental results demonstrate that the combined prior guided patch based filter outperforms the existing well-known filters in minimizing noise of cDNA microarray images. The outcome of the proposed scheme found to offer better peak signalto-noise ratio and structural similarity index in contrast to existing filtering techniques. Effectiveness of the proposed denoising method is also assessed by estimating the spot intensities of cDNA microarray image that reflects the effect of noise reduction in the image. Application/Improvements: Minimization of noise is a crucial step of cDNA microarray image processing and it aids in microarray analysis by extracting valid and good quality gene expression measurements.
Keywords: Denoising, External Prior, Internal Prior, K- nearest Neighbor, Microarray Image, Singular Value Decomposition
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