Hewlett-packard Development Company, L.p.

Miheer M Bhachech

Jeffrey M DiCarlo

Nathan McPherson Moroney

Mark Q Shaw

Carl E Picciotto

Melanie M Gottwals

I-Jong Lin

Michael McGuire

Gabor Herman

Nitin Sampat

Jeffrey M Dicarlo

Ufuk Agar

An inverse transfer function is computed from a forward transfer function of an image rendering device. During the computation, device-dependent values are extrapolated for border nodes. The extrapolated values are out-of-gamut.

Generation of inverse transfer function for image rendering device

A method and system identify a target simplex (T) and interpolate inputs of points () of the target simplex (T) to identify a combination of inputs that achieves a target result (TR).

Method of identifying a target simplex

An apparatus for color sensing is disclosed. The apparatus includes a set of color sensor tolerances for a Non-Contact color sensor device; and a Contact color sensor device, conforming to the set of color sensor tolerances.

Non-contact and contact color sensor device

A method and system for processing images to, for example, capture artwork includes capturing a target image and an image of a reference. The reflectance functions of the target image are then measured. The target image is processed, using the measured reflectance functions and the captured image of the reference, to calculate a correction transform associated with the captured target image.

Image processing methods and systems for fine art reproduction

An inverse transfer function of a limited bit depth output device having N primary colorants (e.g., a six-color printer) is determined. An N-dimensional hypercube that has been tessellated into a set of simplices is accessed, and the set of simplices is navigated through to select a subset that defines a one-to-one mapping of device-independent color space to device primary space.

Determining inverse transfer functions of output devices having limited bit depth

A system and a method are provided for correcting the effect of non-uniform illumination on a reproduced image of a 2-D object. An image of a reference card in an illuminated setting is captured by an image capturing device. A 2-D object is placed in the same illuminated setting and the image of the object is captured. Next, a smoothing function for the reference card image is generated. The smoothing function is used to generate a smoothed reference card image. The smoothed reference card image is processed to compute inverse correction values, which are mathematical inverse of the pixel values in the smoothed reference card image. A pixel-by-pixel correction is then applied to the captured image of the 2-D object using the inverse correction values.

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Mountain View, CA, United States of America

Miheer M Bhachech