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Analysis of Speckle Reducing Filters in Ultrasound Images

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Arvinder Kaur, Sukhjeet Kaur Ranade

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

	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 = {},
	doi = {10.5120/ijca2016912559},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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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Ultrasound image, Speckle noise, Filters, Wavelets