Non decimated Wavelet Based New Threshold Technique for Eliminating Speckle Noise in Ultrasound Images
نویسنده
چکیده
This paper includes different approaches for adaptive wavelet threshold (Bayes Shrink and Normal Shrink) and a robust wavelet domain method for noise filtering in ultrasound images. The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. The proposed work in this paper extends the existing technique by improving the threshold function and produces results which are based on different noise levels. The standard signal to noise ratio (SNR) is not adequate to evaluate the noise removal in speckled images therefore to calculate multiplicative noise suppression a signal-to-mse (S/MSE) ratio is used as a measure of the quality of denoising. Keywords—Adaptive Threshold, Denoising, Ultrasound Image, Wavelet Transform.
منابع مشابه
Subspace-based technique for speckle noise reduction in ultrasound images
BACKGROUND AND PURPOSE Ultrasound imaging is a very essential technique in medical diagnosis due to its being safe, economical and non-invasive nature. Despite its popularity, the US images, however, are corrupted with speckle noise, which reduces US images qualities, hampering image interpretation and processing stage. Hence, there are many efforts made by researches to formulate various despe...
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