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Analysis of Speckle Reducing Filters in Ultrasound Images

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 11
Year of Publication: 2016
Authors:
Arvinder Kaur, Sukhjeet Kaur Ranade
10.5120/ijca2016912559

Arvinder Kaur and Sukhjeet Kaur Ranade. Analysis of Speckle Reducing Filters in Ultrasound Images. International Journal of Computer Applications 156(11):23-30, December 2016. BibTeX

@article{10.5120/ijca2016912559,
	author = {Arvinder Kaur and Sukhjeet Kaur Ranade},
	title = {Analysis of Speckle Reducing Filters in Ultrasound Images},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {11},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {23-30},
	numpages = {8},
	url = {http://www.ijcaonline.org/archives/volume156/number11/26754-2016912559},
	doi = {10.5120/ijca2016912559},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Ultrasound is a widely used medical imaging technique used for diagnostic purposes. But the major problem with these images is that they are inherently corrupted by speckle. The presence of speckle severely hampers the interpretation and analysis of medical ultrasonic images. In this paper, a comparison of various speckle reducing spatial and wavelet based methods has been carried out while de-speckling the image. These methods are evaluated and compared in terms of filter assessment parameters namely Peak Signal to Noise Ratio (PSNR), MSSIM (Mean Structural Similarity), FOM (Figure of Merit) and Method noise and consequently classified into three categories- outstanding, average and below average on the basis of their performance.

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Keywords

Ultrasound image, Speckle noise, Filters, Wavelets