Correcting Over-Exposure in Photographs
論文：Correcting Over-Exposure in Photographs 本論文主要討論過曝光校正算法。所謂過曝光，示例如下所示： 過曝光圖片校正示例 圖片中女孩臉部有部分過亮（用藍色畫出部分）。爲了達到曝光校正的目的，作者的方法分爲以下幾步： 爲了給過曝光區域的亮度恢復騰出空間，壓縮曝光良好區域圖像的動態範圍。 基於過曝光的可能性掩膜，進行亮度恢復。 基於近鄰傳播(neighborh
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相關文章
- 1. The Error Correcting Codes (ECC) Page
- 2. Toward Convolutional Blind Denoising of Real Photographs
- 3. Paper | Toward Convolutional Blind Denoising of Real Photographs
- 4. 【CVPR2020】Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
- 5. Semi-Supervised Semantic Image Segmentation with Self-correcting Networks_CVPR2020
- 6. Toward Convolutional Blind Denoising of Real Photographs（CBDNet）, CVPR2019
- 7. 【論文研讀】Obscuring Surface Anatomy + Detection of Wrong-Patient when Include Patient Photographs
- 8. [Knowledge-based AI] {ud409} Lesson 23: 23 - Learning by Correcting Mistakes
- 9. 論文閱讀筆記：Learning to Compose with Professional Photographs on the Web
- 10. 論文筆記：Toward Convolutional Blind Denoising of Real Photographs