Recently, low-dose medical imaging attracts a significant interest owing to the harmfulness
of ionized radiations including X-rays. However, when the radiation dose is reduced during …

Speckle noise is an inherent problem in coherent imaging systems such as synthetic
aperture radar. It creates strong intensity fluctuations and hampers the analysis of images …

Recently developed deep-learning-based denoisers often outperform state-of-the-art
conventional denoisers, such as the BM3D. They are typically trained to minimizethe mean …

We propose in this paper an extension of the Non-Local Means (NL-Means) denoising
algorithm. The idea is to replace the usual square patches used to compare pixel …

Objective Dynamic positron emission tomography (PET), which reveals information about
both the spatial distribution and temporal kinetics of a radiotracer, enables quantitative …

Iterative image reconstruction for positron emission tomography (PET) can improve image
quality by using spatial regularization that penalizes image intensity difference between …

We demonstrate the effectiveness of the nonlocal means (NLM) filter for speckle denoising
in digital holography. The speckle noise adapted version of the NLM filter is compared with …

Many tasks in computer vision require to match image parts. While higher-level methods
consider image features such as edges or robust descriptors, low-level approaches (so …

In this paper, a novel Non-local means image denoising method, called Grey theory applied
in Non-local Means (GNLM) is proposed. Different from previous works, our method is based …

Noise reduction is one of the most important topics of digital image processing and despite
the fact that it has been studied for a long time it remains the subject of active research. In …