Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation
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Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation
Abstract— Images coded at low bit rates in real-world appli-cations usually suffer from significant compression noise, which significantly degrades the visual quality. Traditional denoising methods are not suitable for the content-dependent compression noise. < final year projects >
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