Weather satellite image enhancement using homomorphic filtering

This paper presents an enhancement method for weather satellite images using a homomorphic filtering procedure. Homomorphic filtering is a technique applied in the frequency domain that enhances images by compressing their intensity range and simultaneously improving their contrast. Prior to applying homomorphic filtering, a median filter is used to remove noise from the input image. The results demonstrate that the proposed procedure successfully improves the visibility of weather satellite images.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.5937/pim25265t
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Weather satellite image enhancement using homomorphic filtering

Ákos Odry, Juvenal Rodríguez‐Reséndiz, Vladimir Tadić
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Advanced Image Fusion Techniques
article

Weather satellite image enhancement using homomorphic filtering

Ákos Odry, Juvenal Rodríguez‐Reséndiz, Vladimir Tadić
article en

Abstract

This paper presents an enhancement method for weather satellite images using a homomorphic filtering procedure. Homomorphic filtering is a technique applied in the frequency domain that enhances images by compressing their intensity range and simultaneously improving their contrast. Prior to applying homomorphic filtering, a median filter is used to remove noise from the input image. The results demonstrate that the proposed procedure successfully improves the visibility of weather satellite images.

Óbudai Egyetem
Openalex Percentile: Top 80%
Advanced Image Fusion Techniques
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Weather satellite image enhancement using homomorphic filtering — Ákos Odry, Juvenal Rodríguez‐Reséndiz, et al. · (2025) | TGRS Research Map | TGRS