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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
At the end, we illustrate the proposed method with some examples.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:In this study, considering the well-known fractal image compression, we introduce the image decompression method through non-affine contraction mappings.
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Temel Bulgular & Veri:To achieve this, we convert affine contraction mappings into non-affine contraction mappings using Lipschitz continuous functions, subject to certain assumptions.
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Sonuç & Katkı:At the end, we illustrate the proposed method with some examples.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Fractal image compression · Iterated function system · Audio compression
Abstract
In this study, considering the well-known fractal image compression, we introduce the image decompression method through non-affine contraction mappings. To achieve this, we convert affine contraction mappings into non-affine contraction mappings using Lipschitz continuous functions, subject to certain assumptions. Our expectation is to obtain decompressed images of superior quality compared to the classical fractal image compression method. We also apply our method for audio decompression. At the end, we illustrate the proposed method with some examples.
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Aslan, N., Aslan, İ. (2025). Fractal Image Decompression via Non-affine Contractions. Gazi University Journal of Science, Volume: 38 Issue: 1. https://doi.org/10.35378/gujs.1425702