Open AccessProceedings Article
Comparison of despeckle filters for ultrasound images
Arun Balodi,M. L. Dewal,Anurag Rawat +2 more
- pp 1919-1924
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TLDR
A comparative study of despeckle filters for ultrasound images have been presented in this paper, done in terms of preserving the texture features and edges.Abstract:
A comparative study of despeckle filters for ultrasound images have been presented in this paper. We know that the ultrasound images are corrupted by speckle noise, which has limited the growth of automatic diagnosis for ultrasound images. This paper compiles twelve despeckling filters for speckle noise reduction. A comparative study has been done in terms of preserving the texture features and edges. Six stabilized evaluation metrics, namely, signal to noise ratio (SNR), root mean square error (RMSE), peak signal to noise ratio (PSNR), structural similarity (SSIM) index, beta metric (β) and figure of merit (FoM) are calculated to investigate the performance of the despeckle filters.read more
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Wavelet Decomposition–Based Speckle Reduction Method for Ultrasound Images by Using Speckle-Reducing Anisotropic Diffusion and Hybrid Median
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Speckle reducing anisotropic diffusion
Yongjian Yu,Scott T. Acton +1 more
TL;DR: This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic and radar imaging applications, and validates the new algorithm using both synthetic and real linear scan ultrasonic imagery of the carotid artery.