Adobe, Inc.

Lars U Borg

Manish S Kulkarni

Stephen E Carlsen

Mark C Hamburg

Stephen N Schiller

Matthew J Phillips

Geoffrey C Sherwood

Ken Kameda

Saikat Chakrabarty

Michael Bourgoin

James G Sandman, Jr

Stuart R Blair

Lynn M Cherny

Michael Gallo

Matthew J Foley

Duy Anh Pham

Shankar J Iyer

Patrick Palmer

John D Morris

A method, in which one or more processing devices perform operations, includes compiling a static shader at initialization of a media-processing application. The static shader is configured to transform color data from multiple pre-transform color spaces to multiple post-transform color spaces. A runtime of the media-processing application occurs subsequent to the initialization, and the method further includes determining, during the runtime, that the static shader is applicable to a color transform from a pre-transform color space to a post-transform color space. The method further includes executing the static shader to perform the color transform, based on determining that the static shader is applicable to the color transform.

Color transforms using static shaders compiled at initialization

The present disclosure is directed toward providing visualization models of image characteristics. The visualization models can allow a user to intuitively understand and optionally edit or match characteristics. For example, one or more embodiments involve generating a visualization model of colors (including their hue and saturation) within a source image. Furthermore, one or more embodiments involve enabling a user to interact with and edit the visualization model of the source image. In one or more embodiments further involve generating a transformation model based on the visualization model of the source image. A target image can be altered in accordance with the transformation model such that characteristics of the source image are matched to the target image.

Providing visualizations of characteristics of an image

In embodiments of color rendering on a hue plane, a color rendering module can receive three channels of color information. The color rendering module converts the three channels of color information to two channels of color information and performs a color rendering operation on the two channels of color information to provide two channels of rendered color information. The color rendering module then converts the two channels of rendered color information back to three channels of rendered color information.

Color rendering on a hue plane

A method includes dividing an input range of color values of a first color space into a plurality of sub-ranges, wherein at least one of the sub-ranges comprises an over-range color value. The method also includes determining for each sub-range a level of accuracy in converting color values within each sub-range. The method further includes determining a processing step to be applied to input color values in each sub-range based on the determined level of accuracy.

System and method for converting over-range colors

The subject matter disclosed herein relates to calculating an inter-image effect array capable of tuning an effect of spectral dye density curves for use in a preview of digital motion picture content.

Inter-image effect array for previewing digital motion picture content

The subject matter disclosed herein relates to enhancing the visual distinction between color managed image elements and non-color managed image elements.

Color management detection

The subject matter disclosed herein relates to previewing documents for colorblind end users.

Preview for colorblind

Systems and methods ('utility') for encoding digital linear image data into encoded image data. The utility may be included as part of a digital image capture device, such as a digital camera or a film scanner. The utility may include an encoder module that is operative to encode digital linear image data into encoded data according to an enhanced transfer function. The transfer function includes a linear portion and a logarithmic portion separated by a breakpoint. The transfer function may be continuous and continuously differentiable at the breakpoint. Further, the transfer function may operate to reduce the bit depth of the image data (e.g., from 12 bits to 10 bits, or the like) to provide compression for the image data.

Optimized log encoding of image data

The subject matter disclosed herein relates to color calibration for digital imaging devices. Color correction may be performed for digital imaging devices. A response of a device to known colors may be obtained. The response may be obtained at least in part through an image that may include one or more color patches. One or more linearization curves may be determined by fitting values from one or more color patches within the image to reference data. In addition, a color correction matrix may be determined by estimating local minimum values utilizing one or more pairs of high-chroma color patches within the image.

Color calibration for digital imaging devices

A method includes defining a bounded space approximating a color gamut based on a plane approximately tangential to the color gamut. The method further includes identifying an input point and determining a first distance between the plane and the input point. The first distance is measured in a direction normal to the plane. The method also includes determining a second distance between the input point and an aim point. The second distance is measured in a direction normal to the first plane. The method further includes determining a clipped point based on a ratio between the first distance and the second distance, the clipped point representing an approximation of a color on a boundary of the color gamut.

Clipping colors to a gamut surface

Tuning sizes of cells of an interpolated lookup table may be performed based at least in part on an area specific behavior of a quality metric. A weighted input shaper curve may be determined to reduce interpolation errors in a multi-dimensional color lookup table. An initial input shaper curve may be applied to a color lookup table to create an interpolation result. The interpolation result may then be assessed for accuracy. The accuracy assessment may include comparing the interpolation result with a reference representation. An interpolation error may be calculated as the error between one or more intervals in a prospective color lookup table as compared to a reference representation. The weighted input shaper curve may be based at least in part on the calculated interpolation error.

Tuning cell sizes in interpolated lookup tables

In general, one aspect of the subject matter described in this specification can be embodied in a method that includes obtaining an image and a corresponding color profile including state information for the image in relation to the color profile, the state information selected from a group including a scene-referred state and an output-referred state; selecting, automatically in response to identification of the state information, a rendering intent for the image, based on the state information and a current task in an imaging workflow, from a group including relative colorimetric rendering intent, perceptual rendering intent and absolute colorimetric rendering intent; converting, automatically in response to the selecting, the image to a new color space based on the color profile and the selected rendering intent; and making the converted image available for processing and output.

Automatic selection of color conversion method using image state information

A method includes identifying multiple preferred color values in a destination color space. Each preferred color value is one of a set of colorimetrically equivalent color values. The destination color space has color values defined by a particular number of color components. The method further includes defining intermediate color values in an intermediate color space. The intermediate color values correspond to the multiple color values and the intermediate color space has a number of color components that is less than the particular number of color components of the destination color space. The method also includes identifying a known mapping from the destination color space to a source color space and using the intermediate color values and the known mapping to determine a conversion process for converting source color values to preferred color values.

Controlling black levels using a three dimensional intermediate color space

A method includes receiving a first value in a first color space for conversion to a second value in a second color space. The first color space includes luminance, chroma, and hue components and the second includes black and multiple color components. The method includes identifying a color gamut limit of the second color space and determining multiple boundaries in the first color space corresponding to the limit. The method also includes identifying gray and saturation levels associated with first value based on a relationship of the luminance and chroma components and the boundaries. The method includes determining a black component value in the second color space using the identified gray level and the identified saturation level. The method also includes determining the second color value in the second color space using the black component value and the first value.

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Saratoga, CA, United States of America

Lars U Borg