DocumentCode :
264896
Title :
Reduction of speckle noise from medical images using principal component analysis image fusion
Author :
Kumar, Indrajeet ; Bhadauria, H.S. ; Virmani, Jitendra ; Rawat, Jyoti
Author_Institution :
GB Pant Eng. Coll., Pantnagar, India
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Images captured by different medical devices contain intrinsic artefacts, like ultrasound, CT, MRI images often contain speckle noise, which is the result of the destructive and constructive coherent summation of echoes. In these images, the speckle noise must be reduced cautiously as it also contains diagnostic information. Thus the despeckling algorithms should reduce speckle in homogeneous areas of the image and edges in the image should be preserved. In this paper a method to reduce the speckle noise is proposed which uses the concept of fusion. The performance of the proposed algorithm is quantified by calculating measures like MSE, SNR, PSNR and MSSI, which gives information about the extent of feature preservation and denoising.
Keywords :
biomedical equipment; feature extraction; image denoising; image fusion; medical image processing; principal component analysis; MSE; MSSI; PSNR; SNR; denoising; despeckling algorithm; feature preservation; medical devices; medical images; principal component analysis image fusion; speckle noise reduction; Computed tomography; Filtering algorithms; PSNR; Principal component analysis; Speckle; Despeckling; Image fusion; Medical images; PC A; Ultrasound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2014 9th International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4799-6499-4
Type :
conf
DOI :
10.1109/ICIINFS.2014.7036562
Filename :
7036562
Link To Document :
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