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Journals / Gazi Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2001 / Cilt: 14 - Sayı: 4

Image coding with the use of artificial neural networks

Yapay sinir ağları ile görüntü kodlama

Erkan BEŞDOK
Mehmet ERLER
Şeref SAĞIROĞLU
Pages
1229–1234
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that image coding" using ANNs is achieved with high accuracy in comparision with the classical discrete cosine transformation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study presents a new approach based on artificial neural networks (ANNs) to code the images in an efficient manner.
📊
Key Findings & Data:ANNs achived the image coding with the use of DC elements.
💡
Conclusion & Impact:The results show that image coding" using ANNs is achieved with high accuracy in comparision with the classical discrete cosine transformation.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study presents a new approach based on artificial neural networks (ANNs) to code the images in an efficient manner. ANNs achived the image coding with the use of DC elements. The extended delta-bar-delta algorithm is used to train the neural network. The results show that image coding" using ANNs is achieved with high accuracy in comparision with the classical discrete cosine transformation.

Özet

Bu çalışmada, yapay sinir ağlarına (YSA) dayalı resim kodlama tekniği sunulmuştur. YSA ile resim kodlama DC bileşenler kullanılarak gerçekleştirilmiştir. YSA eğitiminde geliştirilmiş delta-bar-delta algoritması kullanılmıştır. Ayrık kosinüs transformuyla elde edilen resim kodlamaya göre YSA ile yapılan kodlamada daha iyi sonuç elde edilmiştir.

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Cite This Article

BEŞDOK, E., ERLER, M., SAĞIROĞLU, Ş. (2022). Image coding with the use of artificial neural networks. Gazi Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 14 - Sayı: 4, 1229–1234. https://ajindex.com/articles/522346

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