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Dergiler / Balkan Journal of Electrical and Computer Engineering / 2019 / Cilt: 7 Sayı: 4

Comparison of Contourlet and Time-Invariant Contourlet Transform Performance for Different Types of Noises

Muhammet Fatih Aslan(KARAMANOGLU MEHMETBEY UNIVERSITY)0000-0001-7549-0137
Kadir Sabancı(KARAMANOGLU MEHMETBEY UNIVERSITY)0000-0003-0238-9606
Akif Durdu(KONYA TEKNİK ÜNİVERSİTESİ)0000-0002-5611-2322
Sayfa
399–404
Yayın Tarihi
2019-10-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results showed that TICT is better in Gaussian noisy images.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:A noiseless image is desirable for many applications.
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Temel Bulgular & Veri:However, due to insufficient performance of wavelet transforms (WT) on images, different multi-resolution analysis methods have been proposed.
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Sonuç & Katkı:The results showed that TICT is better in Gaussian noisy images.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Contourlet Transform · Image Denoising · Time Invariant Contourlet Transform

Abstract

A noiseless image is desirable for many applications. However, this is not possible. Generally, wavelet-based methods are used to noise reduction. However, due to insufficient performance of wavelet transforms (WT) on images, different multi-resolution analysis methods have been proposed. In this study, one of them is Contourlet Transform (CT) and the Translation-Invariant Contourlet Transform (TICT) which is an improved version of CT is compared using different noises. The fundus images are taken from the DRIVE dataset and benchmark images are used. Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), Mean Structural Similarity (MSSIM) and Feature Similarity Index (FSIM) are used as comparison criteria. The results showed that TICT is better in Gaussian noisy images.

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Bu Makaleye Atıf Yap

Aslan, M. F., Sabancı, K., Durdu, A. (2019). Comparison of Contourlet and Time-Invariant Contourlet Transform Performance for Different Types of Noises. Balkan Journal of Electrical and Computer Engineering, Cilt: 7 Sayı: 4, 399–404. https://doi.org/10.17694/bajece.573583

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