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Shadow removal. Team F Corina Blajovici Zoltán Bónus Péter József Kiss László Varga. 1. Our main goal. Remove shadows from pictures without user interaction Can be separeted to two different tasks :. 1 . Find the shadow (shadow mask). 2 . Remove the shadow. 2. Shadow detection.

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Shadow removal

Shadowremoval

Team F

CorinaBlajovici

Zoltán Bónus

Péter József Kiss

László Varga


1 our main goal
1. Our main goal

  • Removeshadowsfrompictureswithoutuserinteraction

  • Can be separeted to two different tasks:

1. Find the shadow (shadow mask)

2.Remove the shadow

SSIP 2011 - Shadow removal


2 shadow detection
2. Shadowdetection

  • Histrogram dissension

  • Iterate through the Y channel of the picture in Ycbcr colorspace

  • Start with NxN size window, and compare intensities with the average of the whole picture and the window

  • Pixels with lower intensity will be marked as shadows

  • Repeatfromthethirdstepwithsmallerwindowsize, butonlymodifytheunmarkedpixels (untilwindowsizereaches 3x3)

SSIP 2011 - Shadow removal


3 shadow removal
3. Shadowremoval

  • We implemented 3 different algorythms forthis task:

  • Additivecorrection of shadow pixel colors

  • Light-model based color correction

  • Combination of thefirsttwoinYcbcrcolorspace

SSIP 2011 - Shadow removal


4 results 1 6
4. Results (1/6)

Additivemethod

Light-modelbasedmethod

Combinativemethod

SSIP 2011 - Shadow removal


4 results 2 6
4. Results (2/6)

Additivemethod

Light-modelbasedmethod

Combinativemethod

SSIP 2011 - Shadow removal


4 results 3 6
4. Results (3/6)

Additivemethod

Light-modelbasedmethod

Combinativemethod

SSIP 2011 - Shadow removal


4 results 4 6
4. Results (4/6)

Additivemethod

Light-modelbasedmethod

Combinativemethod

SSIP 2011 - Shadow removal


4 results 5 6
4. Results (5/6)

Additivemethod

Light-modelbasedmethod

Combinativemethod

SSIP 2011 - Shadow removal


4 results 6 6
4. Results (6/6)

Additivemethod

Light-modelbasedmethod

Combinativemethod

SSIP 2011 - Shadow removal


5 conclusions
5. Conclusions

  • ShadowRemoval is a hardtask!

  • Whatwereached, and whatstillcan be improved:

    • A systemthatcanremoveshadowfromhomogenioustexrute.

    • A segmentationapproachtodetectcrispshadowson an image.

      • Probably a ‘fuzzy’ shadowmembershiponthepixelswouldgive a betterdescription.

    • Thremethodsfortheremoval of shadows:

      • Someactuallyworksfine, but has no mathematicalbackgorund.

      • Some has a nicemathematicaldescription, butunfortunatelythe „World is notwillingtofollowthemodeltotheletter”.

SSIP 2011 - Shadow removal


Final conclusions
FinalConclusions

  • Anyway, the system is not perfect, but it can work on lots of images.

  • Using it and being lucky can just work fine! 

SSIP 2011 - Shadow removal


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