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New Thresholding Function for Denoising and Deconvolution Discrete Doppler Wave |
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PP: 531-537 |
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doi:10.18576/amis/180305
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Author(s) |
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Maha M. Helmi,
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Abstract |
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| Speckle noise has a negative impact that results in information loss for images. As a result, this work has developed a new thresh function and began the study of the wave as a discrete. Then, estimate the underlying wave by removing the noise, blurring, and sharp features. The form of the universal threshold is carefully developed and is the key to the outstanding outcomes received in the extensive numerical simulations of wave and image denoising introduced here. A smooth wavelet basis is applied in this work, where each wavelet basis has N vanishing moments; more precisely, all coefficients of any polynomial of degree N or less will be exactly zero. A description of the wave using a new proposed method is investigated. The thresholding rule, whether hard or soft, is to threshold or shrink some wavelet coefficients towards zero. Comparing that method with another one, such as classical thresh resulting in kills, keeps the wavelet coefficients, and some wavelet coefficients are shrunk using the normal distribution. That method for the wavelet analysis is not suitable.
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