Image analysis – Color image processing
Reexamination Certificate
2011-04-19
2011-04-19
Le, Brian Q (Department: 2624)
Image analysis
Color image processing
C382S254000, C382S276000, C382S309000, C345S591000, C348S612000
Reexamination Certificate
active
07929753
ABSTRACT:
Color is edited using a color representation including digital values B (brightness), e and f such that B=√{square root over (D2+E2+F2)}, e=E/B; f=F/B, where DEF is a linear color coordinate system. Alternatively, color is represented using digital values B, C (chroma) and H (hue), where cos C=D/B and tan H=E/F. Brightness can be changed without a color shift by changing the B coordinate and leaving unchanged the other coordinates e and f or C and H. Other features are also provided. Brightness coding methods are provided to reduced the size of image data for storage and/or network transmission. The coding methods include logarithmic coding. Some embodiments use logarithmic or linear coding depending on the brightness at a particular pixel.
REFERENCES:
patent: 6178269 (2001-01-01), Acharya
patent: 6934411 (2005-08-01), Bezryadin
patent: 6941331 (2005-09-01), Bezryadin et al.
patent: 7031404 (2006-04-01), Lindquist
patent: 2004/0143380 (2004-07-01), Stam et al.
U.S. Appl. No. 11/377,591, filed Mar. 16, 2006, entitled “Editing (Including Saturation Editing) of Digital Color Images,”.
U.S. Appl. No. 11/494,393, filed Jul. 26, 2006, entitled “Editing of Digital Images, Including (But Not Limited To) Highlighting and Shadowing of Image Areas,”.
U.S. Appl. No. 11/432,221, filed May 10, 2006, entitled “Editing of Digital Images, Including (But Not Limited To) Color-To-Monochromatic Conversion and Changing the Color of Monochromatic Image,”.
U.S. Appl. No. 11/322,111, filed Dec. 28, 2005, entitled “Color Coordinate Systems Including Systems with a Coordinate Defined by a Square Root of a Quadratic Polynomial in Tristimulus Values and, Possibly, by a Sign of a Function of One or More of Tristimulus Values,”.
U.S. Appl. No. 11/321,443, filed Dec. 28, 2005, entitled “Color Editing (Including Brightness Editing) Using Color Coordinate Systems Including Systems With a Coordinate Defined by a Square Root of a Quadratic Polynomial in Tristimulus Values and, Possibly, by a Sign of a Function of One or More of Tristimulus Values,”.
U.S. Appl. No. 11/377,161, filed Mar. 16, 2006, entitled “Editing (Including Contrast and Sharpness Editing) of Digital Images,”.
U.S. Appl. No. 11/376,837, filed Mar. 16, 2006, entitled “Editing (Including Hue Editing) of Digital Color Images,”.
Pratt, William K., “Digital Image Processing—PIKS Inside (3rdEdition)” John Wiley & Sons, Inc. 2001, pp. 189-210.
Larson, Gregory Ward “The LogLuv Encoding for Full Gamut, High Dynamic Range Images,” Silicon Graphics, Inc.
Mantiuk, Rafal; Myszkowski, Karol; Seidel, Hans-Peter “Lossy Compression of High Dynamic Range Images and Video” MPI INformatik, Stuhlsatzenhausweb 85, 66123 Saarbrucken, Germany.
Otim, Stephen O.; Jospeh, Dileepan; Choubey, Bhaskar; Collins, Steven “Modelling of High Dynamic Range Logarithmic CMOS Image Sensors” IMTC 2004—Instrumentation and Measurement Technology Conference, Como, Italy, May 18-20, 2004.
G. Yourganov, W. Stuerzlinger “Tone-Mapping for High Dynamic Range Images” Technical Report, Department of Computer Science, York University, Dec. 2001.
Spaulding, Kevin E.; Woolfe, Geoffrey J.; Giorgianni, Edward J. “Reference Input/Output Medium Metric RGB Color Encodings (RIMM/ROMM RGB)” PICS 2000 Conference, Mar. 26-29, 2000, Portland Oregon.
“Image Compression” Wikipedia, the free encyclopedia.
“Quadrature Mirror Filters” Digital Signal Processing, EECE, UBC. pp. 46-56.
Morse, Bryan “Some Important Properties of Human Vision—CS450: Introduction to Digital Signal and Image Processing” BYU Computer Science.
Choo, Shuo-yen and Chew, Gregory “JPEG 2000 and Wavelet Compression” EE362 Stanford University, pp. 1-18.
MacAdam, “Orthogonal Color Matching Functions”, Journal of the Optical Society of America, 1954, vol. 44, pp. 713-724.
Cohen, Jozef“Two Preferred Reference Frames in Fundamental Color Space”Visual Color And Color Mixture: The Fundamental Color Space, Huguette Cohen, 2001, pp. 94-95, 100-103.
Larson, Gregory Ward “The LogLuv Encoding for Full Gamut, High Dynamic Range Images,” Silicon Graphics, Inc., no later than Nov. 2, 2006.
Xu, Ruifeng; Pattanaik, Sumanta N.; Hughes, Charles E. “High-Dynamic-Range Still-Image Encoding in JPEG 2000” IEEE Computer Society, IEEE Computer Graphics and Applications 2005, p. 69-76.
Mantiuk, Rafal; Myszkowski, Karol; Seidel, Hans-Peter “Lossy Compression of High Dynamic Range Images and Video” MPI INformatik, Stuhlsatzenhausweb 85, 66123 Saarbrucken, Germany, Jan. 2006.
Ward, Greg “High Dynamic Range Image Encodings”, no later than Dec. 21, 2005.
“Image Compression” Wikipedia, the free encyclopedia, no later than Oct. 20, 2006.
“Quadrature Mirror Filters” Digital Signal Processing, EECE, UBC, pp. 46-56,no later than Oct. 20, 2006.
Morse, Bryan “Some Important Properties of Human Vision—CS450: Introduction to Digital Signal and Image Processing” BYU Computer Science, no later than Oct. 17, 2006.
Choo, Shuo-yen and Chew, Gregory “JPEG 2000 and Wavelet Compression” EE362 Stanford University, pp. 1-18, no later than Feb. 26, 2007.
Ward, Greg “High Dynamic Range Imaging”, May 21, 2001.
Haynes and Boone LLP
KWE International Inc.
Le Brian Q
Shenker Michael
Torres José M
LandOfFree
Image processing including, but not limited to, logarithimic... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image processing including, but not limited to, logarithimic..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image processing including, but not limited to, logarithimic... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2673298