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Postprocessing of Compressed Images via Sequential Denoising

Postprocessing of Compressed Images via Sequential Denoising

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Postprocessing of Compressed Images via Sequential Denoising

we propose a novel postprocessing technique for compression-artifact reduction. Our approach is based on posing this task as aninverse problem, with a regularization that leverages on existing state-of-the-art image denoising algorithms. We rely on the recently proposed Plug-and-Play Prior framework, suggesting the solution of general inverse problems via alternating direction method of multipliers,leading to a sequence of Gaussian denoising steps. A key feature in our scheme is a linearization of the compression-decompression process, so as to get a formulation that can be optimized. In addition, we supply a thorough analysis of this linear approximation for several basic compression procedures. The proposed method is suitable for diverse compression techniques that rely on transform coding. In particular, we demonstrateimpressive gains in image quality for several leading compression methods—JPEG, JPEG2000, and HEVC.


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  • Model: PROJ7819
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Saturday 12 August, 2017.