An Adaptive Data-Fitting Model for Speckle Reduction of Log-Compressed Ultrasound Images

An Efficient Filtering Approach for Speckle Reduction in Ultrasound Images

Ultrasound (US) imaging is a valuable imaging technique for clinical diagnosis. It is noninvasive in nature and imaging the internal structure of the body to identify the probabilistic diseases or, abnormalities in tissues behavior. However, inherent response of speckle noise in US images limit the fine and edge details which affect the contrast resolution. This makes clinical diagnosis more di...

Compensation of log-compressed images for 3-D ultrasound.

In this study, a Bayesian approach was used for 3-D reconstruction in the presence of multiplicative noise and nonlinear compression of the ultrasound (US) data. Ultrasound images are often considered as being corrupted by multiplicative noise (speckle). Several statistical models have been developed to represent the US data. However, commercial US equipment performs a nonlinear image compressi...

Speckle Noise Reduction in Medical Ultrasound Images

Speckle Noise Reduction in Ultrasound Images

Ultrasound imaging is a widely used medical imaging modality because it is safe, allows real-time visualization of moving structures, and is relatively inexpensive. But the major issue with ultrasound images is the presence of speckle noise, which is an inherent limitation of ultrasound images. Various filters are used to reduce the speckle noise and to enhance the quality of the image. This wo...

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...