ADAPTIVE TRIMMED MEAN AUTOREGRESSIVE MODEL FOR REDUCTION OF POISSON NOISE IN SCINTIGRAPHIC IMAGES

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 into smaller chunks and ATMAR model is applied on each chunk separately. In this paper, two 5x5 windows with 40% overlapping are used...

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Bibliographic Details
Main Authors: Khan Bahadar Khan, Muhammad Shahid, Hayat Ullah, Eid Rehman, Muhammad Mohsin Khan
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2018-12-01
Series:International Islamic University Malaysia Engineering Journal
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/835