Difference between revisions of "Publications/carlinet.14.icip.inc"

From LRDE

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| [[File:Carlinet.2014.icip Flower foveon.png|frame|Original image with gaussian noise corruption. PSNR = 36.46]]
File:Example.jpg|Caption1
 
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| [[File:Carlinet.2014.icip Distancebased-flower foveon-00009.png|frame|Distance-based. <br \> λ = 9, PSNR = 37.88]]
File:Example.jpg|Caption2
 
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| [[File:Carlinet.2014.icip Marginal-flower foveon-00030.png|frame|Shape-graph <math>\ddot{\mathcal{G}}</math> (marginal).<br\> λ = 30, PSNR = 39.98]]
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| [[File:Carlinet.2014.icip Preorder-lum-nc-flower foveon-00100.png|frame|Preorder Brightness I (NC). <br\> λ = 100, PNSR = 37.24]]
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| [[File:Carlinet.2014.icip Preorder-lum-mp-flower foveon-00100.png|frame|Preorder Brightness I (MP), <br\> λ = 100, PSNR = 37.98]]
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| [[File:Carlinet.2014.icip Preorder-lum-pmean-flower foveon-00100.png|frame|Preorder Brightness I (P<sub>mean</sub>), <br \> λ = 100, PSNR = 38.23]]
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== Detailed Results ==
 
== Detailed Results ==

Revision as of 14:46, 18 February 2014

Getting a morphological Tree of Shapes for mulativariate images: paths, traps, and pitfalls

Method Description

(Pre)order based methods

Colors are reduced to scalar value that defines an ordering to compute the Tree of Shapes. We have tested different pre-order on several color space, as well as several restitution rules.

  • Restitution Rules:
    • Nearest color (NC): A removed shape is assigned to the closest color in the parent shape.
    • Mean (Pmean): Every shape is assigned with the mean color of its pixels.
    • Mean Parent (MP): A removed shape is assigned with the mean color of the parent shape pixels.
  • Total orders considered: (NC, Pmean, MP are equivalent in this case).
    • Lexicographical (Lex): Lexicographical order with the R,G,B triplet.
  • Total pre-orders considered:
    • Lightness in La*b*
    • Lightness in HLS
    • Brightness
    • Chrominance in La*b*

Distance based method

Graph-based method

Evaluation Procedure Description

Results Summary

Best Grain Size Min PSNR Max PSNR Avg. PSNR
Shape-Graph
Preorder CLa*b* (NC) 2 36.21 39.60 37.43
Preorder LLa*b* (NC) 5 36.32 38.43 37.43
Preorder LHLS (NC) 7 36.34 39.36 37.57
Preorder Brightness (NC) 8.5 36.39 39.60 37.67
Order Lex 100 36.42 47.78 38.10
Distance-Based 15 37.02 41.14 38.76
Preorder CLa*b* (MP) 300 36.31 41.37 38.92
Preorder CLa*b* (Pmean) 200 36.20 41.45 39.03
Preorder LLa*b* (MP) 300 36.77 41.38 39.34
Preorder LHLS (MP) 300 36.65 41.49 39.59
Preorder LLa*b* (Pmean) 200 37.00 42.22 39.72
Preorder Brightness (MP) 300 36.60 42.69 39.94
Preorder LHLS (Pmean) 200 37.03 41.84 39.96
Preorder Brightness (Pmean) 200 36.41 43.19 40.40
Shape-Graph (marginal) 50 37.59 50.21 41.66
Original image with gaussian noise corruption. PSNR = 36.46
Distance-based.
λ = 9, PSNR = 37.88
Shape-graph (marginal).<br\> λ = 30, PSNR = 39.98
Preorder Brightness I (NC). <br\> λ = 100, PNSR = 37.24
Preorder Brightness I (MP), <br\> λ = 100, PSNR = 37.98
Preorder Brightness I (Pmean),
λ = 100, PSNR = 38.23

Detailed Results

By images

By methods

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