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Dergiler / European Journal of Technique / 2019 / Cilt: 9 - Sayı: 2

A COMPARISON STUDY FOR IMAGE DENOISING

Muhammet Fatih ASLAN
Kadir SABANCI
Akif DURDU
Sayfa
145–150
Yayın Tarihi
2022-10-12
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Peak Signal-to-Noise Ratio, Mean Squared Error, Mean StructuralSimilarity and Feature Similarity Index are used as a comparison method.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Image denoising is the detection and removal of outliers in a image.
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Temel Bulgular & Veri:Both methods have been used toeliminate noise of different types and different rates added to the benchmarkand retina images.
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Sonuç & Katkı:Peak Signal-to-Noise Ratio, Mean Squared Error, Mean StructuralSimilarity and Feature Similarity Index are used as a comparison method.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Image denoising is the detection and removal of outliers in a image. Ameasured analog signal is affected by both the device from which themeasurement is performed and the noise from the environment. Various typesof noise are available. With the developed noise reduction methods, it is triedto eliminate the existing noise. In this study, Bandelet Transform and BilateralFilter denoising methods are compared. Both methods have been used toeliminate noise of different types and different rates added to the benchmarkand retina images. Bandelet transform is performed for both hard and softthreshold. Peak Signal-to-Noise Ratio, Mean Squared Error, Mean StructuralSimilarity and Feature Similarity Index are used as a comparison method.

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Bu Makaleye Atıf Yap

ASLAN, M. F., SABANCI, K., DURDU, A. (2022). A COMPARISON STUDY FOR IMAGE DENOISING. European Journal of Technique, Cilt: 9 - Sayı: 2, 145–150. https://ajindex.com/articles/512066

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Kaynakça (14)

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