Journals / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2020 / Cilt: 62 - Sayı: 1

AN ARTIFACT REDUCTION METHOD FOR BLOCK-BASED VIDEO CODING

Pages
1–13
Publication Date
2020-06-30
DOI
—
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AI Summary & Key Takeaways

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

Experimental results show that performance of the proposed method is better than the conventional approaches.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Öz Most of the image/video coding standards are based on discrete cosine transform which is a block-based coding scheme with a disadvantage of blocking effects at low bit rates.
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Key Findings & Data:In this paper, we propose a hybrid method which consists of downsampling/upsampling, significance map coding and local cosine transform to reduce the disadvantage of lossy compression and is also compatible with current standards.
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Conclusion & Impact:Experimental results show that performance of the proposed method is better than the conventional approaches.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler Local cosine transform · significance map coding · image compression

Özet

Öz Most of the image/video coding standards are based on discrete cosine transform which is a block-based coding scheme with a disadvantage of blocking effects at low bit rates. In this paper, we propose a hybrid method which consists of downsampling/upsampling, significance map coding and local cosine transform to reduce the disadvantage of lossy compression and is also compatible with current standards. Experimental results show that performance of the proposed method is better than the conventional approaches.

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Cite This Article

ILGIN, H. A., AKBULUT, A. (2020). AN ARTIFACT REDUCTION METHOD FOR BLOCK-BASED VIDEO CODING. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 62 - Sayı: 1, 1–13. https://ajindex.com/articles/51129

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