Image Restoration Using Weibull Particle Filters - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

Image Restoration Using Weibull Particle Filters

Ibrahim Sadok
  • Fonction : Auteur

Résumé

Satellite images are frequently degraded throughout the data collection process. Degradation can involve blurring and different sources of noise. Image restoration attempts to reconstruct the original image from the corrupted data. In literature, different approaches depend on Kalman filtering exist for image restoration. However, it has certain limits in terms of stability, adaptability and visibility. In this article, a new technique based on the concept of particle filtering and the Weibull distribution (WPF) is proposed to restore images degraded by noise. Our approach is recursive and handles nonlinear situations. Simulation results are eventually exhibited a good performance of the WPF over conventional particle filters.
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Dates et versions

hal-04331303 , version 1 (08-12-2023)

Identifiants

Citer

Ibrahim Sadok, Mourad Zribi. Image Restoration Using Weibull Particle Filters. 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS), Oct 2022, Oum El Bouaghi, Algeria. 340-345 / Paper 54, ⟨10.1109/PAIS56586.2022.9946893⟩. ⟨hal-04331303⟩
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