Seite - 177 - in Document Image Processing
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J. Imaging 2017,3, 62
Figure5.Holedegradation. (Left)original images. (Right)degradedimages.
3.4. Bleed-Through
WithDocCreator it ispossible toaddbleed-throughdefects. Thisalgorithmisdirectly inspired
from[49] that initiallyproposesanalgorithmforerasingthebleed-throughfromadocument image.
By justgivingan input recto image, an inputverso imageand theamountofwisheddegradation,
a physicalmodel is applied. Thismodelmimics the verso ink that seeps through the recto side.
Thismodel simulatesananisotropicdiffusionandeachpixelat time t+1 ismodifiedaccordingto the
pixelsvaluesat time twiththe followingequation:
It+1i,j = I t
i,j+λ∗(ctNi,j · NIti,j+ctSi,j · SIti,j+ctEi,j · EIti,j+ctWi,j · WIti,j)
where I is the recto image, V is the verso image, lambda a constant value in [0;0.25] and N, S,
E, W are themnemonic subscripts forNorth, South, East, West. NIti,j and ctNi,j are defined as:
NIti,j =Vti−1,j− Iti,j and ctNi,j = 1
1+ (Vti−1,j−I0i,j)2
σ2 . Theuser sets thenumberof iterationsand thus the
quantityofgeneratedbleed-through.
SeeFigure6 forableed-throughexample.
Figure6.Bleed-throughdefect. (Left)original image. (Right)degradedimage.
177
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Buch Document Image Processing"
Document Image Processing
- Titel
- Document Image Processing
- Autoren
- Ergina Kavallieratou
- Laurence Likforman-Sulem
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2018
- Sprache
- deutsch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-106-1
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 216
- Schlagwörter
- document image processing, preprocessing, binarizationl, text-line segmentation, handwriting recognition, indic/arabic/asian script, OCR, Video OCR, word spotting, retrieval, document datasets, performance evaluation, document annotation tools
- Kategorie
- Informatik