Algerian Flag
Contact

وزارة التعليم العالي و البحث العلمي

Research centre in Industrial Technologies -CRTI- EChahid Mohammed ABASSI

← Back to Library

Asymmetric Generalized Gaussian DistributionParameters Estimation based on MaximumLikelihood, Moments and Entropy

Type: Conference Paper
Domain: Electronics
Authors: Nafaa Nacereddine, Aicha Baya Goumeidane
Keywords
Asymmetric generalized Gaussian distributionParameter estimationmaximum likelihoodMomentsEntropy.
Abstract

In this paper, we address the problem of estimatingthe parameters of Asymmetric Generalized Gaussian Distribution(AGGD) using three estimation mehods, namely, Maximum LikelihoodEstimation (MLE), Moment Matching Estimation (MME)and Entropy Matching Estimaion (EME). For this purpose, thesemethods are applied on an unimodal histogram fitting of animage corrupted with AGGD noise. Experiments show that theeffectiveness of each method comparatively to the other onedepends on the variation range of the shape factor.