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Implement - Single Image Haze Removal Using Dark Channel Prior

Implement - Single Image Haze Removal Using Dark Channel Prior. 601410103 張瀚元. Single Image Haze Removal using Dark Channel Prior. Kaiming He , Jian Sun, and Xiaoou Tang IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2009 ( Oral ). Outline. Goals of Haze Removal

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Implement - Single Image Haze Removal Using Dark Channel Prior

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  1. Implement -Single Image Haze Removal Using Dark Channel Prior 601410103 張瀚元

  2. Single Image Haze Removal using Dark Channel Prior Kaiming He, Jian Sun, and Xiaoou TangIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009 (Oral)

  3. Outline • Goals of Haze Removal • Technical description • Implement • References and Appendix

  4. Goals of Haze Removal

  5. Technical description • Haze Imaging Model • Dark Channel • Estimating the transmission • Soft Matting • Guided Image Filtering

  6. Haze Imaging Model I = J * t + A * ( 1 – t ) I : The observed intensity J : The scene radiance t : the medium transmission describing the portion of the light that is not scattered and reaches the camera.

  7. Haze Imaging Model (cont) I = J * t + A * ( 1 – t ) d = - βln t d : depth

  8. Dark Channel 何愷明經由統計後發現，自然界中的物體，其RGB值中必有一值偏低 一張由 影像之min ( r , g , b ) 構成的圖被稱為該影像之 Dark Channel

  9. Dark Channel (cont)

  10. Dark Channel (cont) : color channel of J : dark channel of J

  11. Dark Channel (cont)

  12. Estimating the transmission

  13. Soft Matting matting Laplacian matrix : Refined transmission map : Transmission map before refined

  14. Soft Matting(cont) • A Closed Form Solution to Natural Image Matting byAnat Levin • 優點 : 較夠找到清晰的輪闊 • 缺點 : 計算matting Laplacian matrix 與之後的矩陣運算時間複雜度太高 • 本實作用 Guided Image Filtering 來取代 soft matting部份

  15. Guided Image Filtering • Kaiming He, Jian Sun, and Xiaoou TangThe 11th European Conference on Computer Vision (ECCV), 2010 (Oral)

  16. Guided Image Filtering(cont)

  17. Guided Image Filtering(cont) • 優點 : 時間複雜度低 實作容易 • 缺點 : 跟matting Laplacian matrix 的結果相比較不精細

  18. Implement • 程式流程 • Methods of operation • Result • Limit • Demo

  19. 程式流程

  20. Methods of operation

  21. Result Canon3.mp Remove haze result Optimal dark channel map

  22. Result(cont) train.bmp train.bmp 除霧 Dark channel

  23. Result(cont) tiananmen1.bmp tiananmen1.bmp 除霧 Dark channel

  24. Limit • Inherently white or grayish objects • Haze imaging model is invalidfor some image

  25. Demo • Demo.avi • Youtube link : http://youtu.be/PpaBcgurDpY

  26. References and Appendix • Single Image Haze Removal using Dark Channel PriorKaiming He, Jian Sun, and Xiaoou Tang • A Closed Form Solution to Natural Image Matting Anat Levin DaniLischinskiYair Weiss • Guided Image FilteringKaiming He, Jian Sun, and Xiaoou Tang

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