This document discusses several image processing techniques including HDR radiance mapping, panorama image projection correction using cylindrical projection, a dolly zoom effect simulation, and deblurring techniques. It also covers implementing exposure fusion on Android by porting code from MATLAB to C, Java, and the Android SDK to fuse multiple exposures based on pixel weightings of saturation, contrast, and exposure level. Multi-resolution fusion and fusion with flash images are also discussed.

1. AIP: Project 1

2. HDR Radiance Map

3. lambda:
0.2
lambda:
3.0

4. Sample Count Comparison
using tonemap()
100 1000

5. Compare with makehdr()
makehdr() our implementation

6. Panorama Image

7. Graphical User Interface

8. Projection Correction

9. Projection Correction

10. Projection Correction
using DigiKam

11. Projection Methods

12. Cylindrical Projection
❖ s=f=
❖ (pixel)
❖ f = ~1750 pixels

13. Cylindrical (re)Projection

14. Blending

15. No Projection

16. Cylindrical Reprojection

19. Ring Light

20. Ring Light
On Off

21. Dolly Zoom Effect

22. ❖
❖
❖ ( ) -1 + ( ) -1 == ( )-1
❖
❖
❖ ( )/( ) ==
❖ ( ) ( )
❖ : 33 cm :f/165 ( 1mm)
❖ / : (39.5/200) == (49.4 / 250) == 0.198

23. 200 cm 250 cm
39.5 mm 49.4 mm

27. Debluring
1. 2.
gray lucy
level deconv
3. 3.
L2 combine
deconv RGB

28. Exposure Fusion on Android
❖ Alternative to Radiance Map HDR approach
❖ pixel HDR : contrast exposure saturation
❖ Porting from Matlab -> C, Java/JNI, Android SDK, libjpeg

29. Exposure Fusion on Android

30. Exposure Fusion on Android

31. Exposure Fusion on Android

32. Pixel Weighting: Saturation

33. Pixel Weighting: Contrast

34. P. W.: Well-Exposureness

35. Pixel Weighting

36. Exposure Fusion on Android

37. Multi-resolution Fusion

38. Fusion with Flash Fired

39. Fusion with Flash Fired

40. Happy Hacking ;)