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Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid Paper by Sylvain Paris, Samuel W. Hasinoff, Jan Kautz Presenter: Jing Niu An Example Input: Milestones and Advances in Image Analysis WS 12/13 2 An Example


  1. Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid Paper by Sylvain Paris, Samuel W. Hasinoff, Jan Kautz Presenter: Jing Niu

  2. An Example ● Input: Milestones and Advances in Image Analysis WS 12/13 2

  3. An Example ● output Milestones and Advances in Image Analysis WS 12/13 3

  4. Outline ● Motivation ● Laplacian Pyramids ● Local Laplacian Filtering ● Algorithm ● Applications Milestones and Advances in Image Analysis WS 12/13 4

  5. Motivation Belived to be unsuitable for: ● Representing edges ● Edge-aware operations (edge-preserving smoothing, tone ● mapping) Reason: ● – Build upon isotropic, spatially invariant gaussian kernel Goal: ● Flexible approach ● edge-aware image processing using ● – simple point-wise manipulation of Laplacian pyramids Milestones and Advances in Image Analysis WS 12/13 5

  6. Laplacian and Guassian Pyramids ● Gaussian Pyramid: ● A set of image levels ● Represent lower resolution upsample subsample ● High frequency details disappear Milestones and Advances in Image Analysis WS 12/13 6

  7. Laplacian Pyramid ● Downsampling:decomposition G 0 G 1 G 2 Residual L 1 Ref[1] L 0 Milestones and Advances in Image Analysis WS 12/13 7

  8. Laplacian Pyramid ● Upsampling: G 0 G 1 G 2 L 1 L 0 Ref[1] Milestones and Advances in Image Analysis WS 12/13 8

  9. Local Laplacian Filtering ● Range compression and clipping Input Signal Milestones and Advances in Image Analysis WS 12/13 9

  10. Local Laplacian Filtering ● Range compression and clipping Input Signal Right clippling Milestones and Advances in Image Analysis WS 12/13 10

  11. Local Laplacian Filtering ● Range compression and clipping Input Signal Right clippling Milestones and Advances in Image Analysis WS 12/13 11

  12. Local Laplacian Filtering ● Range compression and clipping Right clipping Input Signal Left Clipping Milestones and Advances in Image Analysis WS 12/13 12

  13. Local Laplacian Filtering ● Range compression and clipping Input Signal Right clipping Left clipping merged Milestones and Advances in Image Analysis WS 12/13 13

  14. Point-wise Remapping function edge--aware tone manipulation edge--aware detail manipulation tone mapping inverse tone mapping detail smoothing detail enhancement combined operator detail enhance + tone map Milestones and Advances in Image Analysis WS 12/13 14

  15. An overview of the algorithm Approach: construct laplacian pyramid of filtered output Milestones and Advances in Image Analysis WS 12/13 15

  16. Illustration Milestones and Advances in Image Analysis WS 12/13 16

  17. Illustration Milestones and Advances in Image Analysis WS 12/13 17

  18. Illustration Milestones and Advances in Image Analysis WS 12/13 18

  19. Illustration Milestones and Advances in Image Analysis WS 12/13 19

  20. Illustration Milestones and Advances in Image Analysis WS 12/13 20

  21. Illustration Milestones and Advances in Image Analysis WS 12/13 21

  22. Illustration Milestones and Advances in Image Analysis WS 12/13 22

  23. Application ● Detail manipulation ● Tone mapping Milestones and Advances in Image Analysis WS 12/13 23

  24. Application Detail manipulation ● Tone mapping ● β, σ r similar effects on tone mapping results α is set to 1 Milestones and Advances in Image Analysis WS 12/13 24

  25. More Results bilateral filter and close up Our result and close up Milestones and Advances in Image Analysis WS 12/13 25

  26. More Results Milestones and Advances in Image Analysis WS 12/13 26

  27. Conclusion ● Edge aware ● Based solely on laplacian pyramid ● Simple method ● Robustness ● Artifact-free ● high quality image ● open new perspectives on multi-scale image analysis and editing Milestones and Advances in Image Analysis WS 12/13 27

  28. Reference ● Pyramid-based Image Synthesis Theory Shuguang Mao and Morgan Brown ● Advanced Image Analysis Christian Schmaltz ● Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid Sylvain Paris, Samuel W. Hasinoff, Jan Kautz Milestones and Advances in Image Analysis WS 12/13 28

  29. Thank you Milestones and Advances in Image Analysis WS 12/13 29

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