Feature-aware image defect removal

Details Feature-aware image defect removal Feature-aware image defect removal

2006-07-04

2010-11-02

Johns, Andrew W (Department: 2624)

Image analysis

Image enhancement or restoration

Object boundary expansion or contraction

C382S275000

Reexamination Certificate

active

07826675

ABSTRACT:
Provided are systems, methods and techniques which use local image properties to determine which potential defects in an image should be corrected. In one representative embodiment, potential defects in an image are identified based on edge sharpness, and measures of strength for the different potential defects are calculated. The measures of strength for the potential defects are then evaluated in view of certain local properties of the image, in an immediate vicinity of such potential defects, in order to identify the image defects to be corrected.

REFERENCES:
patent: 5095204 (1992-03-01), Novini
patent: 5774177 (1998-06-01), Lane
patent: 5825909 (1998-10-01), Jang
patent: 6167150 (2000-12-01), Michael et al.
patent: 6198529 (2001-03-01), Clark et al.
patent: 6542628 (2003-04-01), Muller et al.
patent: 7408569 (2008-08-01), Yamaguchi
patent: 2003/0012452 (2003-01-01), Trifonov
patent: 2004/0027618 (2004-02-01), Nakamura
patent: 2004/0086162 (2004-05-01), Doi et al.
patent: 2004/0208395 (2004-10-01), Nomura
patent: 2006/0276698 (2006-12-01), Halldorsson et al.
patent: 1429541 (2004-06-01), None
patent: 1608145 (2005-12-01), None
patent: WO2006060496 (2006-06-01), None
Giakoumis et al., “Digital image processing techniques for the detection and removal of cracks in digitized paintings”, IEEE Transactions on Image Processing, vol. 15, No. 1, p. 178-188, Jan. 2006.
Chen et al., “A pseudo top-hat mathematical morphological approach to edge detection in dark regions”, Pattern Recognition 35 (2002), p. 199-210.
Serra et al., “Connected operators and pyramids”, Proc. SPIE, vol. 2030, pp. 65-76 (1993); DOI:10.1117/12.146672, Conference Title: Image Algebra and Morphological Image Processing IV , Jul. 1993.
Nikolaidis et al., “Digital image processing in painting restoration and archiving”, Image Processing 2001 Proceedings 2001 International Conference on, 2001, vol. 1, p. 586-589.
Giakoumis, I. et al., “Digital restoration of painting cracks”, Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on, vol. 4, pp. 269-272, 1998.
Joyeux, et al. “Detection and removal of line scratches in motion picture films,” in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 1999, pp. 548-553.
Merriam-Webster's Collegiate Dictionary, Tenth Edition, Merriam-Webster Inc., 2001, ISBN 0-87779-708-0, pp. 251, and 921.
Buisson, O., et al.: Deterioration Detection in a Sequence of Large Images; Third Inter. Workshop; Netherlands; Nov. 15, 2007.
Joyeux, et al., “Reconstruction of Degraded Image Sequences. Application to Film Restoration,” Image and Vision Computing 19, 2001, pp. 503-516.
Poynton, C., “Frequently Asked Questions About Color,” 1997, pp. 1-24.

Affiliated with

Also associated with

Rating

Feature-aware image defect removal does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Feature-aware image defect removal, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Feature-aware image defect removal will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4247004