Non-local means filter uses all the possible self-predictions and self-similarities the image
can provide to determine the pixel weights for filtering the noisy image, with the assumption …

The dependence of speckle noise in ultrasound images on image data makes the research
of ultrasound image denoising tasks a great challenge. Several deep learning-based …

Medical image processing is used for the diagnosis of diseases by the physicians or
radiologists. Noise is introduced to the medical images due to various factors in medical …

The Gaussian filter is a local and linear filter that smoothes the whole image irrespective of
its edges or details, whereas the bilateral filter is also a local but non-linear, considers both …

Due to higher reliability and safety requirements, the importance of condition monitoring and
failure diagnosis has progressively cleared up. In this context, being able to properly deal …

Digital image acquisition and processing techniques plays very important role in current-day
medical diagnosis. Images of living objects are taken using different modalities like X-ray …

In this day and age, digital images play a significant role in our day-to-day life. Digital
images are utilized in a wide range of fields like medical, business and more. Besides, the …

This paper presents a novel denoising approach based on smoothing linear and nonlinear
filters combined with an optimization algorithm. The optimization algorithm used was cuckoo …

Medical image degradation has a significant impact on image quality, and thus affects
human interpretation and the accuracy of computer-assisted diagnostic techniques …

The quality of ultrasound (US) imaging has been constrained by its limited contrast and
resolution, inherent speckle noise, and the presence of other artifacts. Existing traditional …