Medical ultrasound images are corrupted by speckle noise, which is multiplicative. This
noise limits the contrast resolution in these images and complicates image-based …

Noise refers to the random variation of intensity of a pixel, which modifies the actual
information of the image. As a result, pixels which appear in the image are not the actual …

Deep learning (DL) approaches have been applied in different sectors of medical imaging
applications, ie classification, segmentation and detection tasks and shown superior …

At present, ultrasound is one of the essential tools for noninvasive medical diagnosis.
However, speckle noise is inherent in medical ultrasound images and it is the cause for …

Speckle noise is the inherent property of ultrasound B-Scan images which has been filtered
using well-established speckle reduction techniques. In this work, six spatial filters namely …

Image denoising is essential to extract the information contained in an image without errors.
A technique of using both wavelets and evolutionary computing tools is proposed to denoise …

Medical imaging has become a vital part of the early detection, diagnosis, and treatment of
many diseases. That's why image denoising is considered as a crucial pre-processing step …

A new denoising technique is proposed in this study for synthetic aperture radar (SAR)
images corrupted by speckle noise. The authors method extract informative features from a …

Acquisition of digital image and preprocessing methods plays a vital role in clinical
diagnosis. The ultrasound medical images are more popular than other imaging modalities …

In recent years, noise filter of image processing have been widely used in automated
manufacturing processes in noisy environment, such as removal of noise in arc welding …