1. A. I. P 9512514 郭瓊蓮 922014 柯瑋明 922508 吳榮軒 Term Project

2. Implement this paper : “Two-scale Tone Management for photographic Look,” Bae, Paris, and Durand. Apply the method to different kind of pictures. Add HDR technique. Subject Review

3. Algorithm Review model input base detail bilateral filter high pass and local averaging textureness transfer large-scale transfer

4. Algorithm Review modified base modified detail final output constrained combination postprocess black-and-white output

5. Our works Our input Our model

6. Our works Our detail Our base

7. Our works With edge preserving Without edge preserving

8. Our works Our result Author’s result

9. HDR

11. Uncertainty. Poisson equation. Histogram matching. Textureness. Color channel. Problems

12. An old problem while using fast bilateral filter. Uncertainty

14. Cost most time in our pipeline. Use Discrete Sine Transform to reduce time complexity. Easy to implement. Poisson

15. General Poisson Equation: –I xx + I yy = f For discrete version, we can rewrite the equation to matrix form: –TI + IT = F,where T is a N*N triagonal matrix of {1,-2,1}. Poisson

16. We define Poisson

18. DX+XD=B is easy to solve Then we use I=SXS to get final answer. Poisson

19. In fact, SXS performs 2-D DST on X Implementation steps: –Perform 2-D DST on F –Divide the sum of the corresponding eigenvalue and a constant. –Perform 2-D DST again Poisson

20. The gray-value in log domain are always negative or zero. The range could be even wider if HDR added. The function implemented by MATLAB can only handle the interval from 0 to 1…… Hist-matching

21. Input distribution histogram

22. Hist-matching Mask distribution histogram

23. Hist-matching Output distribution histogram

24. Hist-matching Input Output Mask

25. Textureness ρ p = max( 0, ( T’ p – T(B’) p ) / T(D) p ) T( I ) p = 1/k * ∑ gσ s ( |p – q| ) gσ r ( |I p - I q | )|H| q q ∈ |H| k = ∑ gσ s ( |p – q| ) gσ r ( |I p - I q | ) q ∈ I O = B’ + ρ D H is the high-pass version of the image.

26. Textureness Input

27. Textureness High frequency of H

28. Textureness Absolute value of H

29. Textureness T

30. 0+

32. Which color channel could work best? –RGB channel. Process separately. Process intensity only and then interpolate the three channel. –YUV channel. Color Channel

37. More Images InputModel

38. More Images InputOutput

39. More Images Input Model

40. More Images InputOutput

41. More Images Input Model

42. More Images Input Output

43. More Images Input Model

44. More Images Input Output

45. Questions Thanks for your attention.