Image analysis – Color image processing
Reexamination Certificate
2004-11-30
2009-06-23
Werner, Brian P (Department: 2624)
Image analysis
Color image processing
Reexamination Certificate
active
07551772
ABSTRACT:
A method performed by a processing system is provided. The method comprises computing an auto-correlation of sharp channel information of a digital image, computing a cross-correlation between the sharp channel information and blurred channel information of the digital image, and estimating a blur kernel using the auto-correlation and the cross-correlation.
REFERENCES:
patent: 3681579 (1972-08-01), Schweitzer
patent: 5509086 (1996-04-01), Edgar et al.
patent: 6166853 (2000-12-01), Sapia et al.
patent: 6590679 (2003-07-01), Edgar et al.
patent: 6788825 (2004-09-01), Fujino
patent: 2001/0021224 (2001-09-01), Larkin et al.
patent: 2002/0071613 (2002-06-01), Ford et al.
patent: 2003/0016852 (2003-01-01), Kaufman et al.
patent: 2003/0095721 (2003-05-01), Clune et al.
patent: 2006/0093234 (2006-05-01), Silverstein
patent: 788070 (1997-08-01), None
Raymond H. Chan, et al, “Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving Regularization” http://www.math.cuhk.edu.hk/rchan/paper/impulse.
S. Lertrattanapanich and N.K. Bose, “HR Image From Multiframes by Delaunay Triagulation: A Synopsis” ICIO IEEE 0-7803-7622-602 (2002).
Raymond H. Chan, et al, “Salt-and-Pepper Noise Removal by Median-type Noise Detectors and Detail-preserving Regularization” http://www.math.cuhk.edu.hk/rchan/paper/impulse, Jul. 30, 2004.
Lim Suk Hwan
Silverstein D. Amnon
Hewlett--Packard Development Company, L.P.
Patel Jayesh A
Werner Brian P
LandOfFree
Blur estimation in a digital image does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Blur estimation in a digital image, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Blur estimation in a digital image will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4141410