Abstract A 2-D Adaptive Trimmed Mean Autoregressive (ATMAR) model has been proposed
for denoising of medical images corrupted with poisson noise. Unfiltered images are divided …

We propose a new hybrid technique for reduction of poisson noise in scintigraphic images.
Our proposed method is a combination of Gradient calculation and Adaptive Trimmed Mean …

In the present paper, a 2-dimensional adaptive autoregressive filter is proposed for noise
reduction in images degraded with Poisson noise. In autoregressive models, each value of …

Developments in Medical imaging systems which are providing the anatomical and
physiological details of the patients made the diagnosis simple day by day. But every …

Digital imaging in medicine is improving the medical standards since last few decades. The
images acquired by various imaging modalities suffer from various kinds of noise in the …

In medical image processing, magnetic resonance (MR) imaging techniques play an
important role. The images acquired are usually affected from various noise such as …

Noise reduction in digital images is the eminent preprocessing scheme in major image
processing activities which includes medical image segmentation. A well designed noise …

Sažetak We propose a Weighted Gradient Filter for denoising of Poisson noise in medical
images. In a predefined window, gradient of the centre pixel is averaged out. Gaussian …

In medical imaging systems, denoising is one of the important image processing tasks.
Automatic noise removal will improve the quality of diagnosis and requires careful treatment …

This paper proposes a Poisson noise removal filter consisting of a modified gradient
algorithm. Square of each pixel is subtracted from the center pixel of a 3x3 window. All …