Noise2Void - Learning Denoising from Single Noisy Images
1. 摘要 Noise2Noise (N2N) 可以利用一對獨立的噪聲圖片來訓練去噪模型，在這裏，作者更進一步提出了一個策略 Noise2Void (N2V) ，只利用噪聲圖像即可。 因此 N2V 可以被應用在一些其它方法不能應用的領域，特別是生物醫學圖像，在這裏乾淨或者噪聲目標圖像經常是不可能獲取到的。 2. 方法介紹 噪聲圖像的產生 x = s + n x=s+n x=s+n，可以看作是從下面
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相關文章
- 1. 論文筆記：Learning Denoising from Single Noisy Images
- 2. Learning from Noisy Anchors的思考
- 3. Fast Burst Images Denoising
- 4. 《Learning to Estimate 3D Hand Pose from Single RGB Images》 論文筆記
- 5. Reinforcement Learning for Relation Classification from Noisy Data
- 6. Face Spoofing Detection From Single Images Using Micro-Texture Analysis
- 7. Unprocessing Images for Learned Raw Denoising
- 8. [TMI2019-02]Learning Cross-Modality Representations From Multi-Modal Images
- 9. 論文閱讀學習 - CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
- 10. Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images