Methods and systems for generating dynamic picture metadata are presented. Given an input picture generated on a mastering display, characteristics of a target display which is different than the mastering display, and an initial set of dynamic metadata for the input picture, an iterative algorithm: maps the input image to a mapped image for the target display according to a display management process and the image metadata, compares the input image to the mapped image according to a visual appearance-matching metric, and updates the image metadata using an optimization technique until a visibility difference value between the input image and the mapped image according to the visual appearance-matching metric is below a threshold.

An apparatus includes one or more processors that function as an image acquisition unit configured to acquire a training image and a correct answer image, a generation unit configured to input the training image to a neural network to generate an output image, an error acquisition unit configured to subject each of the correct answer image and the output image to processing for adjusting a color signal value, and acquire an error between the correct answer image and the output image that have been subjected to the processing, and an update unit configured to update parameters of the neural network based on the acquired error.

An image processing apparatus comprising: a decision unit configured to decide a first color mapping method to a print color gamut for a first partial original based on a pixel value included in the first partial original and the print color gamut of a print unit and decide a second color mapping method to a print color gamut for a second partial original based on a pixel value included in the second partial original and the print color gamut of the print unit; and a color conversion unit configured to perform color conversion of the first partial original by the first color mapping method decided, and perform color conversion of the second partial original by the second color mapping method decided.

An apparatus includes one or more processors that function as an image acquisition unit configured to acquire a training image and a correct answer image, a generation unit configured to input the training image to a neural network to generate an output image, an error acquisition unit configured to subject each of the correct answer image and the output image to processing for adjusting a color signal value, and acquire an error between the correct answer image and the output image that have been subjected to the processing, and an update unit configured to update parameters of the neural network based on the acquired error.

Example color resources are generated. A first luminosity amount of a greyscale color in a greyscale color space is determined. The greyscale color corresponds with a transformation of a source color in a first color space converted to the greyscale color. The source color corresponding with a depletion color in a second color space, and the depletion color has a second luminosity amount. A target color in a color resource is generated via adjusting a black channel amount in the depletion color to match the second luminosity amount with the first luminosity amount. The target color to correspond with the source color in the color resource.

The present disclosure generally relates to a method and device of converting a high-dynamic-range (HDR) version of a picture to a standard-dynamic-range (SDR) version of this picture. The method is characterized in that it converts the high-dynamic-range version to the standard-dynamic-range version of the picture according to: a first indicator (I1) that indicates the presence of color mapping parameters; a second indicator (I2) that indicates whether a device is configured to convert the high-dynamic-range version to the standard-dynamic-range version of the picture by taking into account said color mapping parameters; and a third indicator (I3) that indicates whether converting without taking into account said color mapping parameters is inhibited.

A method for printing a document includes receiving the document, the document including at least one element to be printed using a combination of a spot color and a print effect; receiving a spot color emulation definition for the spot color and the print effect, the spot color emulation definition including a spot color name, an indication of a device-independent color space, values for the spot color in the device-independent color space, and an additional ink parameter indicating at least one additional ink to produce the print effect; and printing the document using the spot color emulation definition.

Source colors are mapped within a mapping segment starting at a preserved gamut boundary color (P.sub.C) and ending at a target gamut boundary color (I.sub.T-C) of the chromaticity plane, corresponding, in a linear 3D color space, to an intersection of the target color gamut (TCG) with a plane of constant luminance and with a mapping plane (MKO) comprising said source color (M), a black point (K) and a white point (O).

Techniques for interactively determining/visualizing the color content of a source image and how the corresponding image data is mapped to device colors are described herein. For example, the color content of a digital image can be converted between different color spaces to identify gamut limitations of an output device (e.g., a printing assembly), discover color(s) that cannot be accurately reproduced, etc. Color space conversions enable the transformation of the color content of the digital image from device-specific colorants to a device-independent representation (and vice versa). In some embodiments, these transformations are facilitated using lookup tables that are implemented in graphical processing unit-resident memory.

The present disclosure relates to a method and device for processing a picture comprising estimating a color mapping between a first color-graded version of picture whose values are represented in a first color volume and a second color-graded version of said picture whose values are represented in a second color volume. The method comprises: —obtaining (10) a first set of color values (S1) from the first color-graded version of the picture by taking into account at least one determined pixel in said first color-graded version of the picture, and obtaining a second set of color values (S2) from the second color-graded version of the picture by taking into account at least one determined pixel in said second color-graded version of the picture, each of said at least one determined pixel in the first color-graded version of the picture is co-located to one of said at least one determined pixel in the second color-graded version of the picture; and —estimating (20) said color mapping between said first and second color-graded versions of the picture by estimating a color mapping function that maps the color values of said first set of color values onto the color values of said second set of color values.