Blue Scratches - Image no. 6

Lucia Maddalena, CNR-ICAR, Naples Branch
Alfredo Petrosino, University of Naples Parthenope


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 image

6. House 2
Size: 256*256
Source: [5], filename: 4.1.05

Artificially corrupted images, Corresponding scratch masks obtained with BSD algorithm, and Restored images

h=70 BSD [1] Alg. 1 [1] Alg. 2 [7] Alg. 3 [8] Alg. 4 [9]
w=5
w=7
w=9
w=11
w=13
w=15

References

[1] L. Maddalena and A. Petrosino, Restoration of blue scratches in digital image sequences, accepted for publication in Image and Vision Computing.

[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 and A. Petrosino, A comparison of algorithms for blue scratch removal in digital images, submitted to the Second National Conference of the Colour Group, Milano, September 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.