Wavelet Thresholding Techniques in Despeckling of Medical Ultrasound Images
نویسندگان
چکیده
Abstract— This paper presents a review of wavelet thresholding techniques for despeckling of medical ultrasound images. An ultrasound image is first transformed into wavelet domain and then the wavelet coefficients are processed by different wavelet thresholding techniques. The denoised image is obtained by taking the inverse wavelet transform of the modified wavelet coefficients. The performance of the techniques reviewed in this paper is evaluated using the image quality assessment parameters such as Peak Signal to Noise Ratio (PSNR), Edge Preservation Index (EPI) and Correlation Coefficient (CoC).The practical implementation of this work is to determine the effective wavelet thresholding technique that compromises between edge preservation and noise suppression. Keywordspeckle noise, wavelet thresholding, ultrasound image, despeckling
منابع مشابه
Speckle Reducing Contourlet Transform for Medical Ultrasound Images
Speckle noise affects all coherent imaging systems including medical ultrasound. In medical images, noise suppression is a particularly delicate and difficult task. A tradeoff between noise reduction and the preservation of actual image features has to be made in a way that enhances the diagnostically relevant image content. Even though wavelets have been extensively used for denoising speckle ...
متن کاملImportance of Dwt in Despeckling Sar Images and Experimentally Analyzing the Wavelet Based Thresholding Techniques
Speckle noise is a ‘granular pattern’ special kind of multiplicative noise mainly found in the SAR images and medical images such as CT scan and an ultrasound image. SAR is Synthetic Aperture Radar, special kind of radar that mainly captures the high-resolution images of the broad area of the earth surface. Image despeckling using wavelet transform is one efficient approach as it generates a la...
متن کاملSpeckle noise reduction in ultrasound image based on A Multiplicative Multiresolution Decomposition (MMD)
This paper turns on ultrasound image despeckling by using Multiplicative Multiresolution Decomposition MMD. The proposed method is based on MMD’s coefficient thresholding. The used thresholds are automatically evaluated from the transformed image content. Tests are conducted on simulated speckled and real ultrasound images. Obtained results show that the proposed method outperforms the consider...
متن کاملDespeckling of medical ultrasound images using Daubechies complex wavelet transform
The paper presents a novel despeckling method, based on Daubechies complex wavelet transform, for medical ultrasound images. Daubechies complex wavelet transform is used due to its approximate shift invariance property and extra information in imaginary plane of complex wavelet domain when compared to real wavelet domain. A wavelet shrinkage factor has been derived to estimate the noise-free wa...
متن کاملSpeckle Noise Reduction in Ultrasound Images by Wavelet Thresholding
Medical practitioners are increasingly using digital images during disease diagnosis several state-of-the-art medical equipments are producing images of different organs, which are used during various stages of analysis. Examples of such devices include MRI, CT, ultrasound and X-Ray. In medical image processing, image denoising has become a very essential exercise all through the diagnose becau...
متن کامل