International Journal of Scientific Engineering and Technology

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A Novel Threshold Selection Technique for Speckle Filtration from Medical Images


Affiliations
1 Department of Electronics and Telecommunication, Rungta College of Engineering & Technology, Bhilai (C.G.), India
 

This paper presents a wavelet threshold selection technique for speckle noise filtering and comparison of different speckle noise reduction techniques used in medical imaging. Speckle is a multiplicative noise (or signal dependent noise). Because of its property it is more difficult to remove it in comparison to additive noises. Finally all the different techniques are compared for PSNR, SSIM improvement and the processing time required. The simulation results show that that proposed algorithm performs well.

Keywords

Image Denoising, Wavelet Transform, Speckle Noise.
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  • A Novel Threshold Selection Technique for Speckle Filtration from Medical Images

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Authors

Reeta Soni
Department of Electronics and Telecommunication, Rungta College of Engineering & Technology, Bhilai (C.G.), India
Lalit P. Bhaiya
Department of Electronics and Telecommunication, Rungta College of Engineering & Technology, Bhilai (C.G.), India

Abstract


This paper presents a wavelet threshold selection technique for speckle noise filtering and comparison of different speckle noise reduction techniques used in medical imaging. Speckle is a multiplicative noise (or signal dependent noise). Because of its property it is more difficult to remove it in comparison to additive noises. Finally all the different techniques are compared for PSNR, SSIM improvement and the processing time required. The simulation results show that that proposed algorithm performs well.

Keywords


Image Denoising, Wavelet Transform, Speckle Noise.