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2013_CVPR_Handling_Noise.pdf
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🔗 Source: cg.postech.ac.kr
📊 Size: 994 KB
👤 Author: Lin Zhong, Sunghyun Cho, Dimitris Metaxas, Sylvain Paris, Jue Wang
⬇️ Downloads: 166

Summary

State-of-the-art single image deblurring techniques are sensitive to image noise, which can degrade the quality of blur kernel estimation. Existing denoising methods can partially damage the blur information, leading to biased kernel estimation. A new method is proposed, which applies directional low-pass filters to the input image to reduce noise while preserving blur information. The method estimates the Radon transform of the blur kernel from each filtered image and reconstructs the blur kernel using inverse Radon transform. Experimental results show that this approach achieves higher quality results than previous methods on blurry and noisy images.

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Description

State-of-the-art single image deblurring techniques are sensitive to image noise, which can degrade the quality of blur kernel estimation.

Technical Information

  • File Format: PDF
  • File Size: 994 KB
  • Pages: 8
  • Language: EN
  • Author: Lin Zhong, Sunghyun Cho, Dimitris Metaxas, Sylvain Paris, Jue Wang
  • Total Downloads: 166
  • Last Updated: 1 week ago

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