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- W2740491255 abstract "Abstract In this paper, we implemented Wiener filter, anisotropic diffusion filter, k-distribution based adaptive filter and wavelet filter to de-speckle in medical ultrasound images. The Wiener filter can improve the image qualities well and simulated power spectrum of speckle can be applied on many situations. The Anisotropic diffusion filter can also de-speckle well as long as we choose reasonable parameters, and it doesn’t need extra information of noise pattern. The K-distribution based adaptive filter can improve the image quality, the method is easy to implement and the statistics is easy to estimate and characterize. The wavelet filter is not suitable for removing the speckle in ultrasound images. Keywords: image processing, image restoration, wiener filter, image de-noisng I. I NTRODUCTION The medical Ultrasound B-scan (brightness scan) echo imaging is acquired by summation of the echo signals from ultrasound scatterers in the ultrasound beam range. The scatterers are from structures, tissue interfaces and tissue microstructures etc. in the body, these scatterers are locally correlated. And the coherent summation of signals" @default.
- W2740491255 created "2017-08-08" @default.
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- W2740491255 date "2009-01-01" @default.
- W2740491255 modified "2023-09-27" @default.
- W2740491255 title "Despeckle Filtering in Medical Ultrasound Imaging" @default.
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