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논문검색

Deep Learning for Image Denoising

초록

영어

Deep learning is an emerging approach for finding concise, slightly higher level representations of the inputs, and has been successfully applied to many practical learning problems, where the goal is to use large data to help on a given learning task. We present an algorithm for image denoising task defined by this model, and show that by training on large image databases we are able to outperform the current state-of-the-art image denoising methods.

목차

Abstract
 1. Introduction
 2. The Model
 3. Learning to Denoise
  3.1. Feature Learning
  3.2. Image Restoration
 4. Experiments
 5. Conclusion and Future Work
 References

저자정보

  • HuiMing Li University of Science and Technology Liaoning, Anshan China

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