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Research Article
Performance Evaluation of Transform Domain for Ultrasonography Vision Speckle Reduction
Rajendran Selvakumar1
Leelakrishnan Saranya2
G Saravana Kumar3
12Students, Dept. Of ECE, DR.Mahalingam College of Engineering and Technology, Tamilnadu, India. 3Asst.Prof, Dept. Of ECE, DR.Mahalingam College of Engineering And Technology, Tamilnadu, India.
Published Online: July-August 2023
Pages: 16-18
Cite this article
No DOIReferences
[1] “IEEE Computational Science and Engineering,summer” 1995, vol. 2, num.2, Published by the IEEEComputer Society, 10662 Los
Vaqueros Circle, LosAlamitos,CA90720, USA.
[2] D.L.Donoho and I. M. Johnstone, "Denoising by softthresholding, IEEE Trans. on Iriform. Theory, Vol. 41,pp.613-627,1995
[3] S.Sudha, G.R.Suresh and R.Sukanesh, “wavelet based image denoising using Adaptivethres holding” the International Conference
on Computational Intelligence and Multimedia Applications IEEE(2007).
[4] M.Singh,Dr.S.Singh,Dr.S.Kansal,“ComparativeAnalysisofspatialfiltersforspecklereductioninultrasoundimages”,WorldCongresson
ComputerScienceandInformationEngineeringIEEE(2008).
[5] K.R.Joshi,R.S.Kamathe,“SDI:Newmetricforquantification of speckle noise in ultrasound imaging”IEEE(Nov2008).
[6] Li.Hongqiao,WangShengqian,“ANewImageDenoisingMethodUsingWaveletTransform”,International Forum on Information
Technology andApplicationsIEEE(2009).
[7] M. N. Nobi and M. A. Yousu, “A New Method toRemovenoiseinMagneticResonanceandUltrasoundImages”,JournalofScientific
Research(2010) with piecewise-C2 singularities. Comm. on Pure andAppl.Math. 57(2004),219–266
Vaqueros Circle, LosAlamitos,CA90720, USA.
[2] D.L.Donoho and I. M. Johnstone, "Denoising by softthresholding, IEEE Trans. on Iriform. Theory, Vol. 41,pp.613-627,1995
[3] S.Sudha, G.R.Suresh and R.Sukanesh, “wavelet based image denoising using Adaptivethres holding” the International Conference
on Computational Intelligence and Multimedia Applications IEEE(2007).
[4] M.Singh,Dr.S.Singh,Dr.S.Kansal,“ComparativeAnalysisofspatialfiltersforspecklereductioninultrasoundimages”,WorldCongresson
ComputerScienceandInformationEngineeringIEEE(2008).
[5] K.R.Joshi,R.S.Kamathe,“SDI:Newmetricforquantification of speckle noise in ultrasound imaging”IEEE(Nov2008).
[6] Li.Hongqiao,WangShengqian,“ANewImageDenoisingMethodUsingWaveletTransform”,International Forum on Information
Technology andApplicationsIEEE(2009).
[7] M. N. Nobi and M. A. Yousu, “A New Method toRemovenoiseinMagneticResonanceandUltrasoundImages”,JournalofScientific
Research(2010) with piecewise-C2 singularities. Comm. on Pure andAppl.Math. 57(2004),219–266
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