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Dergiler / Balkan Journal of Electrical and Computer Engineering / 2026 / Cilt: 11 Sayı: 1

Single Image Dehazing based on Additive Wavelet Transform

Nur Hüseyin Kaplan(Erzurum Teknik Üniversitesi)0000-0002-4740-3259
Sayfa
71–77
Yayın Tarihi
2023-01-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The comparisons between the proposed method and commonly used dehazing methods show that the proposed method has a better dehazing perfomrance than the traditional methods.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this work, a single image dehazing method, which uses the multiscale products of additive wavelet transform as a prior is presented.
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Temel Bulgular & Veri:Observations demonstrate that the proposed prior calculation keeps the detail information of the image, while detecting the haze.
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Sonuç & Katkı:The comparisons between the proposed method and commonly used dehazing methods show that the proposed method has a better dehazing perfomrance than the traditional methods.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Dehazing · Defogging · Additive wavelet transform

Abstract

In this work, a single image dehazing method, which uses the multiscale products of additive wavelet transform as a prior is presented. In this method, first, the additive wavelet transform is applied to the hazy image to obtain its approximation and wavelet layers. Then the multiscale products of the approximation and detail layers of the input hazy image is calculated. The multiscale products of approximation and wavelet layers are summed up to obtain the proposed prior. Observations demonstrate that the proposed prior calculation keeps the detail information of the image, while detecting the haze. Using the proposed prior and commonly used hazy image model together, an efficient dehazing method is constructed. The comparisons between the proposed method and commonly used dehazing methods show that the proposed method has a better dehazing perfomrance than the traditional methods.

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Bu Makaleye Atıf Yap

Kaplan, N. H. (2023). Single Image Dehazing based on Additive Wavelet Transform. Balkan Journal of Electrical and Computer Engineering, Cilt: 11 Sayı: 1, 71–77. https://doi.org/10.17694/bajece.1127633

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Kaynakça (20)

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