Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …

A non-local means (NLM) filter is a weighted average of a large number of non-local pixels
with various image intensity values. The NLM filters have been shown to have powerful …

Nowadays, many applications rely on images of high quality to ensure good performance in
conducting their tasks. However, noise goes against this objective as it is an unavoidable …

The paper proposes a new method that combines the decorrelation and shrinkage
techniques to neural network‐based approaches for noise removal purposes. The images …

Mixed noise is a challenging noise model due to its statistical complexity. A new two-phase
denoising method based on an impulse detector using dissimilar pixel counting is proposed …

A vital task in image denoising is to preserve edges and image features while removing
noise. This paper presents an efficient algorithm for noise removal by incorporating an …

Image noise is the random variation of brightness or color information in the images. Noise
can enter the picture during capturing or transmitting. Different linear and nonlinear methods …

The performance of conventional denoising algorithms is usually controlled by one or
several parameters whose optimal settings depend on the contents of the processed images …

In this paper, an iterative two-stage image denoising technique based on multi-structured
textons for noise identification while spatially linked directional similarity for noise restoration …

We consider signal denoising via transform-domain shrinkage based on a novel risk
criterion called the minimum probability of error (MPE), which measures the probability that …