Image analysis – Image enhancement or restoration
Reexamination Certificate
2006-11-28
2006-11-28
Patel, Kanjibhai (Department: 2624)
Image analysis
Image enhancement or restoration
C348S229100
Reexamination Certificate
active
07142723
ABSTRACT:
A system and process for generating a high dynamic range (HDR) image from a bracketed image sequence, even in the presence of scene or camera motion, is presented. This is accomplished by first selecting one of the images as a reference image. Then, each non-reference image is registered with another one of the images, including the reference image, which exhibits an exposure that is both closer to that of the reference image than the image under consideration and closest among the other images to the exposure of the image under consideration, to generate a flow field. The flow fields generated for the non-reference images not already registered with the reference image are concatenated to register each of them with the reference image. Each non-reference image is then warped using its associated flow field. The reference image and the warped images are combined to create a radiance map representing the HDR image.
REFERENCES:
patent: 6650774 (2003-11-01), Szeliski
patent: 6687400 (2004-02-01), Szeliski
patent: 2003/0103670 (2003-06-01), Schoelkopf et al.
Bergen, J.R., P. Anandan, K. J. Hanna, and R. Hingorani, Hierarchical model-based motion estimation,Second European Conference of Computer Vision(ECCV '92), 1992, pp. 237-252.
Bogoni, L., Extending dynamic range of monochrome and color images through fusion,Int'l Conf. on Pattern Recognition, Sep. 2000, vol. 3, pp. 7-12.
Debevec, P. E., and J. Malik, Recovering high dynamic range radiance maps from photographs,Proc. of SIGGRAPH '97, Aug. 1997, pp. 369-378.
Durand, F., and J. Dorsey, Fast bilateral filtering for the display of high dynamic range images,ACM Trans. on Graphics, 2002, 21(3):249-256.
Fattal, R., D. Lischinshi, and M. Werman, Gradient domain high dynamic range compression,ACM Trans. on Graphics, 2002, 21(3):249-256.
Lucas, B. D., and T. Kanade, An interative image registration technique with an application in stereo vision,Int'l Conf. on Artificial Intelligence, 1981, pp. 674-679.
Mann, S., and R. W. Picard, On being “undigital” with digital cameras: Extending dynamic range by combining differently exposed pictures,IS&T's 48thAnnual Conference, Society for Imaging Science and Technology, Washington D.C., 1995, pp. 422-428.
Mann, S., C. Manders, and J. Fung, Painting with looks: Photographic images from video using quantimetric processing,ACM Multimedia, Dec. 2002.
Mitsunaga, T., and S. K. Nayar, Radiometric self calibration,IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, Jun. 1999, pp. 374-380.
Mitsunaga T., and S. K. Nayar, High dynamic range imaging: Spatially varying pixel exposure,IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, Jun. 2000, pp. 472-479.
Reinhard, E., M. Stark, P. Shirley, and J. Ferwerda, Photographic tome reproduction for digital images,ACM Trans. on Graphics, 2002, 21(3):267-276.
Tsin, Y., V. Ramesh, and T. Kanade, Statistical calibration of CCD imaging process,Int'l Conf. on Computer Vision, vol. 1, Jul. 2001, pp. 480-487.
Kang Sing Bing
Szeliski Richard
Uyttendaele Matthew T.
Winder Simon
Lyon Richard T
Lyon & Harr LLP
Microsoft Corporation
Patel Kanjibhai
LandOfFree
System and process for generating high dynamic range images... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and process for generating high dynamic range images..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and process for generating high dynamic range images... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3704690