Digital Film Restoration Laboratory, ICAR-CNR
Blue Scratches
This page has been created in order to show the images used for testing of the blue scratch
detection and removal algorithms presented in [1] and [6].
Original uncorrupted images
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1. House
Size: 128*128
Source: [4], filename: im418
Corresponding images artificially corrupted with blue scratches and restored images
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2. Beeren
Size: 128*128
Source: [3], filename: beeren
Corresponding images artificially corrupted with blue scratches and restored images
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3. Flowers
Size: 128*128
Source: [3], filename: flowers0002
Corresponding images artificially corrupted with blue scratches and restored images
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4. Food
Size: 128*128
Source: [3], filename: food0007
Corresponding images artificially corrupted with blue scratches and restored images
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5. Tree
Size: 256*256
Source: [5], filename: 4.1.06
Corresponding images artificially corrupted with blue scratches and restored images
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6. House 2
Size: 256*256
Source: [5], filename: 4.1.05
Corresponding images artificially corrupted with blue scratches and restored images
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7. Girl 1
Size: 256*256
Source: [5], filename: 4.1.04
Corresponding images artificially corrupted with blue scratches and restored images
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8. Uniform brown
Size: 256*256
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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9. Uniform blue
Size: 256*256
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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10. Almost uniform purple
Size: 256*256
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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11. Man
Size: 256*256
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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12. Wall
Size: 256*256
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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13. Woman 1
Size: 512*512
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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14. Woman 2
Size: 512*512
Source: [2] (detail)
Corresponding images artificially corrupted with blue scratches and restored images
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15. Lenna
Size: 512*512
Source: [5], filename: 4.2.04
Corresponding images artificially corrupted with blue scratches and restored images
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16. Tiffany
Size: 512*512
Source: [5], filename: 4.2.02
Corresponding images artificially corrupted with blue scratches and restored images
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17. Splash
Size: 512*512
Source: [5], filename: 4.2.01
Corresponding images artificially corrupted with blue scratches and restored images
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18. Airplane F-16
Size: 512*512
Source: [5], filename: 4.2.05
Corresponding images artificially corrupted with blue scratches and restored images
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19. Sailboat on lake
Size: 512*512
Source: [5], filename: 4.2.06
Corresponding images artificially corrupted with blue scratches and restored images
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20. Peppers
Size: 512*512
Source: [5], filename: 4.2.07
Corresponding images artificially corrupted with blue scratches and restored images
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References
[1]
L. Maddalena, A. Petrosino,
Restoration of Blue Scratches in Digital Image Sequences,
Image and Vision Computing, Vol. 26, Elsevier, The Netherlands, pagg. 1314–1326, 2008.
[2]
Movie Animali che attraversano la strada, Italy, 2000
[3]
Color Texture Analysis, Universitat Koblenz-Landau, Institut fur Computervisualistik,
http://www.uni-koblenz.de/FB4/Institutes/ICV/AGPriese/Research/Color Texture Analysis
[4]
Computer Vision Laboratory, University of Massachussets, Computer Science Department,
http://vis-www.cs.umass.edu/vislib/Houses/IM4/images.html
[5]
The USC-SIPI Image Database, University of Southern California,
Electrical Engineering Department, Signal & Image Processing Institute,
http://sipi.usc.edu/database
[6]
L. Maddalena, A. Petrosino, A Comparison of Algorithms for Blue Scratch Removal in Digital Images,
in A. Rizzi (Ed.), Colore e colorimetria: contributi multidisciplinari, vol. II, SIOF, ISBN-10 88-7957-252-0,
pp. 133-144, 2006.
[7]
A. Rares, M.J.T. Reinders, and J. Biemond, Restoration of films affected by partial color artefacts,
Proc. of EUSIPCO’02, 2002.
[8]
L. Maddalena, Efficient methods for scratch removal in image sequences,
Proc. of ICIAP’01, IEEE Computer Society, 2001, pp. 547-552.
[9]
R. Bornard, E. Lecan, L. Laborelli, J.-H. Chenot, Missing data correction in still images and image sequences,
Proc. of ACM Multimedia, 2002, pp. 355-361.