Image analysis – Image enhancement or restoration – Intensity – brightness – contrast – or shading correction
Reexamination Certificate
2005-02-11
2009-02-10
Le, Brian Q (Department: 2624)
Image analysis
Image enhancement or restoration
Intensity, brightness, contrast, or shading correction
C382S260000, C382S275000
Reexamination Certificate
active
07489831
ABSTRACT:
A method for processing a digital input image data indexed to represent positions on a display such that the digital data is indicative of an intensity value for each position. The intensity value for each position is adjusted to generate an enhanced value based on retinex theory by operating only on a luminance channel to essentially eliminate shading and color distortion problems.
REFERENCES:
patent: 4384336 (1983-05-01), Frankle et al.
patent: 5128706 (1992-07-01), Shindo et al.
patent: 5991456 (1999-11-01), Rahman et al.
patent: 2003/0012448 (2003-01-01), Kimmel et al.
Marini and Rizzi, “A Computational Approach to Color Adaptation Effects”, Image and Vision Computing 18, pp. 1005-1014, Mar. 2000.
Marini and Rizzi, “From Retinex to Automatic Color Equalization: Issues in Developing a New Algorithm for Unsupervised Colr Equalization”, Journal of Electronic Imaging 13(1), 75-84, Jan. 2004.
Drago et al., “Design of a Tone Mapping Operator for High Dynamic Range Images Based Upon Psychophysical Evalutation and Preference Mapping”, Proc. IS&T SPIE Electronic Imaging 2003. The Human Vision and Electronic Imaging VIII Conf.2003.
Funt, B., Ciurea, F., McCann, J. “Retinex in Matlab”, Journal of the Electronic Imaging, pp. 48-57, Jan. 2004.
Brainard and Wandell, “Analysis fo the Retinex Theory of Color Vision”, Journal of the Optical Society of America: Optics, Image Science, and Vision, vol. 3, Issue 10, Oct. 1986, pp. 1651-1661.
Horn, Determining lightness from an image. Computer Graphics and Image Processing 3, 1, 277-299, 1974.
Hurlbert, “Formal Connections Between Lightness Algorithms”, Journ. Opt. Soc. Am. A/vol. 3, No. 10 Oct. 1986\.
Rizzi and Marini, “Unsupervised Corrections of Unknown ChromaticDominants using a Brownian-path-based Retinex Algorithm”, Journ. of Elec. Imag. 12(3), 431-441, Jul. 2003.
Z. Rahman, D. J. Jobson, and G. A. Woodell, Retinex Processing for Automatic Image Enhancement, Journal of Electronic Imaging, Jan. 2004.
Land, “Recent advances in retinex theory and some implications for cortical computations: Color vision and the natural images” Proc. Natl. Acad. Sci. USA vol. 80, pp. 5136-5169, Aug. 1983.
E.H. Land,Color vision and the natural image, Proc. Nat. Acad. Sci. 1959, pp. 115-129, vol. 45.
E. Land, J.J. McCann,Lightness and retinex theory, Journal of the Optical Society of America, Jan. 1971, pp. 1-11, vol. 61, No. 1.
E. Land,The Retinex theory of color vision, Scientific American, 1977, pp. 108-128, vol. 237.
J.J. McCann,Lesson learned from Mondrians applied to real images and color gamuts, Seventh Color Conference: Color Science, Systems, and Applications, Nov. 1999, pp. 1-8.
D. Jason, Z. Rahman, and G.A. Woodell,A multiscale retinex for bridging the gap between color images and the human observation of scenes, IEEE Trans. on Image Processing, Jul. 1997, pp. 965-976, vol. 6, No. 7.
Kim Yeong-Taeg
Lee Sang-keun
Bloom Nathan
Le Brian Q
Myers Andras Sherman LLP
Samsung Electronics Co,. Ltd.
Sherman, Esq. Kenneth L.
LandOfFree
Method and apparatus for darker region details using 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 Method and apparatus for darker region details using image..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for darker region details using image... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4099890