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Lookup Table LUT Method for Inverse Halftoning

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Choose the neighborhood or template (a collection of pixels) in the prediction. 6 ... If (p0,p1,...,pn-1) exists. if not, use white/black ratio. 40. 60. For ex. ... – PowerPoint PPT presentation

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Title: Lookup Table LUT Method for Inverse Halftoning


1
Look-up Table (LUT) Method for Inverse Halftoning
  • M. Mese and P.P. Vaidyanathan
  • IEEE Transactions on Image Processing, Volume
    10, Issue 10, Oct. 2001, Pages 1566-1578
  • Electrical Engineering Department, California
    Institute of Technology
  • Speaker Jen-Bang Feng

2
Outline
  • Halftone Techniques
  • Look Up Table
  • Experimental Results
  • Conclusions

3
Halftone and Inverse Halftone
Grayscale
Halftone
Binary
Inverse Halftone
Grayscale
4
Halftone Classification
  • Blind
  • Statistical, Wavelet, LUT
  • Non-blind
  • Statistical, Wavelet, Adaptive, Nonlinear
  • By the information of halftone kernel

5
Look Up Table (LUT)
  • Fast, parallel, less computation
  • Training the LUT first
  • Look up the table
  • Choose the neighborhood or template (a collection
    of pixels) in the prediction.

6
LUT Process
For ex.
are in training Sample. Then O 50 if this block
appears
If (p0,p1,,pn-1) exists if not, use white/black
ratio
n 16
n 19
O denotes the estimated pixel.
7
Experimental Results
PSNR30.41 dB
PSNR24.42 dB
8
Conclusions
  • Inversed images are naturally blurred.
  • Edge is the key point.
  • Almost all schemes try to
  • locate the edge
  • Enhance the edge or enhance the background
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