Journals / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2001 / Cilt: 46 - Sayı:

An estimation approach for Gaussian distribution on degraded images

Pages
23–31
Publication Date
2001-01-01
DOI
—
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AI Summary & Key Takeaways

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

The basic noise distribution approach considered in restoration of degraded images uses a Gaussian structure to cover a large class of possible distributions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Öz This paper introduces a novel approach to estimate the distribution of degradation effect on itnages.
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Key Findings & Data:Öz This paper introduces a novel approach to estimate the distribution of degradation effect on itnages.
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Conclusion & Impact:The basic noise distribution approach considered in restoration of degraded images uses a Gaussian structure to cover a large class of possible distributions.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler An estimation · Gaussian · Degraded images

Özet

Öz This paper introduces a novel approach to estimate the distribution of degradation effect on itnages. The basic noise distribution approach considered in restoration of degraded images uses a Gaussian structure to cover a large class of possible distributions.

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Cite This Article

TELATAR, Z. (2001). An estimation approach for Gaussian distribution on degraded images. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 46 - Sayı:, 23–31. https://ajindex.com/articles/105209

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References (1)

  1. Ankara Üniversitesi- Ankara Üniversitesi Dergisi Communications Series A2-A3: Physical Sciences and Engineering