Adaptive trimmed mean autoregressive model for reduction of Poisson noise in scintigraphic images
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 …
for denoising of medical images corrupted with poisson noise. Unfiltered images are divided …
[PDF][PDF] ADAPTIVE TRIMMED MEAN AUTOREGRESSIVE MODEL FOR REDUCTION OF POISSON NOISE IN SCINTIGRAPHIC IMAGES
KB KHAN, M SHAHID, H ULLAH, EID REHMAN… - researchgate.net
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 …
denoising of medical images corrupted with Poisson noise. Unfiltered images are divided …
[PDF][PDF] ADAPTIVE TRIMMED MEAN AUTOREGRESSIVE MODEL FOR REDUCTION OF POISSON NOISE IN SCINTIGRAPHIC IMAGES
KB KHAN, M SHAHID, H ULLAH, EID REHMAN… - pdfs.semanticscholar.org
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 …
denoising of medical images corrupted with Poisson noise. Unfiltered images are divided …
[PDF][PDF] ADAPTIVE TRIMMED MEAN AUTOREGRESSIVE MODEL FOR REDUCTION OF POISSON NOISE IN SCINTIGRAPHIC IMAGES
KB KHAN, M SHAHID, H ULLAH, EID REHMAN… - scholar.archive.org
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 …
denoising of medical images corrupted with Poisson noise. Unfiltered images are divided …
[PDF][PDF] ADAPTIVE TRIMMED MEAN AUTOREGRESSIVE MODEL FOR REDUCTION OF POISSON NOISE IN SCINTIGRAPHIC IMAGES
KB KHAN, M SHAHID, H ULLAH, EID REHMAN… - researchgate.net
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 …
denoising of medical images corrupted with Poisson noise. Unfiltered images are divided …