1
John D Peters, Hewitt D Crane, Eugenio Martinez Uriegas: Method and appartus for increasing resolution of digital color images using correlated decoding. SRI International, Townsend and Townsend and Crew, July 30, 1996: US05541653 (174 worldwide citation)

Color image compression and decompression is achieved by either spatially and chromatically multiplexing three digitized color planes, such as RGB (Red-Green-Blue) (22), into a digital array representative of a single digitized spatially- and chromatically-multiplexed plane (32, 813f) through use of ...


2
Hewitt D Crane, John D Peters, Eugenio Martinez Uriegas: Method and apparatus for decoding spatiochromatically multiplexed color images using predetermined coefficients. SRI International, Townsend and Townsend and Crew, May 4, 1999: US05901242 (104 worldwide citation)

Color image decoding is achieved by a simplified method of decoding a spatially and chromatically multiplexing image plane (32), such as a plane consisting of RGB (Red-Green-Blue) pixels (22) by performing a summation of pixels of all three colors in a neighborhood of a missing pixel. The decoding p ...


3
Eugenio Martinez Uriegas, Hewitt D Crane, John D Peters: Method and apparatus for compression and decompression of digital color images. SRI International, Townsend and Townsend Khourie and Crew, March 14, 1995: US05398066 (97 worldwide citation)

Color image compression and decompression is achieved by either spatially and chromatically multiplexing three digitized color planes, such as RGB (Red-Green-Blue), into a digital array representative of a single digitized spatially- and chromatically-multiplexed plane, or, by use of a color imaging ...


4
Todd D Newman, Eugenio Martinez Uriegas, Elizabeth Pirrotta: Adjustment of color appearance models. Canon Kabushiki Kaisha, Fitzpatrick Cella Harper & Scinto, October 24, 2006: US07126718 (9 worldwide citation)

A system for adjusting the representation of a device's color gamut in color appearance space, comprising performing forward mapping of sample colors from a device-dependent space to a device-independent color appearance space to obtain forward-mapped device-independent values, obtaining mismatch va ...


5
Eugenio Martinez Uriegas, Thomas Schumacher: Image-based selection of gamut mapping. Canon Kabushiki Kaisha, Fitzpatrick Cella Harper & Scinto, November 1, 2005: US06961477 (3 worldwide citation)

Gamut mapping of an original image using one or more of plural different gamut mapping algorithms. The original image is subjected to spatial frequency analysis so as to determine spatial frequency content thereof, and different regions of the original image are gamut mapped using different ones of ...


6
Eugenio Martinez Uriegas, Thomas Schumacher: Image composition for use in lossy compression. Canon Kabushiki Kaisha, Fitzpatrick Cella Harper & Scinto, November 15, 2005: US06965698 (2 worldwide citation)

The present invention, which can be used with any lossy compression, concerns the selection of images to form a composite image which comprises the selected images, wherein, for at least one of the selected images, lossy compression of the composite image results in an improved compressibilty.


7
Eugenio Martinez Uriegas, Thomas Schumacher: Image-based selection of gamut mapping. Fitzpatrick Cella Harper & Scinto, January 16, 2003: US20030012427-A1

Gamut mapping of an original image using one or more of plural different gamut mapping algorithms. The original image is subjected to spatial frequency analysis so as to determine spatial frequency content thereof, and different regions of the original image are gamut mapped using different ones of ...


8
Eugenio Martinez Uriegas, Thomas Schumacher: Image composition for use in lossy compression. Fitzpatrick Cella Harper & Scinto, June 26, 2003: US20030118238-A1

The present invention, which can be used with any lossy compression, concern the selection of images to form a composite image which comprises the selected images, wherein, for at least one of the selected images, lossy compression of the composite image results in an improved compressibilty.



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