Speckle Noise Reduction in Medical Ultrasound Images Using Modelling of Shearlet Coefficients as a Nakagami Prior

Speckle Noise Reduction in Medical Ultrasound Images

Speckle Noise Reduction in Medical Ultrasound Images

Ultrasound imaging is an incontestable vital tool for diagnosis, it provides in non-invasive manner the internal structure of the body to detect eventually diseases or abnormalities tissues. Unfortunately, the presence of speckle noise in these images affects edges and fine details which limit the contrast resolution and make diagnostic more difficult. In this paper, we propose a denoising appr...

Speckle Noise Reduction from Medical Ultrasound Images-A comparative study

In medical image processing image denoising has become a very essential exercise all through the diagnose. Medical images are often deteriorated by noise due to a serious sources of interferences and other phenomenon that affect the measurement process in an imaging and acquisition system. Speckle noise is a random mottling of the image with bright and dark spots, which obscures fine details an...

On Speckle Noise Reduction In Medical Ultrasound Images

In general, one of the main problems to be solved in the processing of biomedical images is the noise reduction. The problem is particularly important if the noise has a multiplicative nature (speckle). We present a review of techniques that can be used to reduce this kind of noise in ultrasound images. That techniques have been used on B-mode echocardiograms with four-chamber view, selecting a...

Speckle Noise Reduction in Ultrasound Images Using Wavelets: A Review

Biomedical images are generally corrupted by speckle noise and Gaussian noise. Speckle noise is multiplicative type whereas other noises like Gaussian noise are additive type. It is difficult to remove multiplicative noise from images. We have presented various techniques for removing speckle noise from images and image enhancement by thresholding using various spatial domain filters and Wavele...