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 …

Objectives Both qualitative and quantitative analysis in nuclear medicine can be
undermined by Poisson noise in low-count clinical images. Whilst the conventional …

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 …

The aim of this study was to eliminate the effect of Poisson noise in scintigrams with a
wavelet thresholding method. We developed a new noise reduction method with a wavelet …

Poisson noise is one of the factors degrading scintigraphic images, especially at low count
level, due to the statistical nature of photon detection. We have developed an original …

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 …

Abstract Background and Objective The Poisson noise is added to the image during the
acquisition of medical X-Ray images. The distorted image due to this noise makes it difficult …

Noise assessment is important to image quality evaluation. It is also important to the criteria
for terminating an iterative noise reduction process. To make a meaningful assessment …

The data-driven Pixon noise-reduction method is applied to nuclear studies. By using the
local information content, it preserves all statistically justifiable image features without …

The Evaluation of Noise Reduction and Resolution Degradation in Scintigraphic Images Due
to the Smoothing Procedure Page 1 126 Nucl.-Med. Band XXI/Heft 3 1982 The Evaluation of …