A system and method of processing of a captured image to facilitate post-processing modification. The method includes: receiving the captured image; down-sampling the captured image to generate a down-sampled image; passing the captured image through an image processing pipeline to generate an initial output image, the image processing pipeline including performing one or more image processing operations on the passed image based on a set of parameters; iteratively passing, in one or more iterations, the down-sampled image through the image processing pipeline to generate an output down-sampled image in each iteration, each iteration using at least one variation to the set of parameters used by the image processing pipeline. Down-sampling can be used to generate a down-sampled initial output image such that a mapping is determined between the down-sampled initial output image and the respective output down-sampled image. The down-sampled images or the mapping can be stored as metadata.

In an example there is provided a printing method comprising receiving first and second image data for first and second images to be printed on a substrate, determining first print data for the first image on the basis of the first image data and a white layer to be printed between the first image and second image, to achieve a nominal color profile for the first image; determining second print data for the second image on the basis of the first image data, second image data, the white layer and one or more properties of the substrate to achieve a nominal color profile for the second image; communicating the print data for the first and second images to a printing device to print the first and second images and white layer on the substrate.

An electronic device is disclosed. The electronic device includes at least one processor electrically connected with an image sensor and a memory. The memory stores instructions, when executed, causing the processor to obtain an image through the image sensor, segment the obtained image into the plurality of regions, calculate values of a first parameter for each of the plurality of regions based on the reference color components indicating a representative color of each of the plurality of regions, calculate values of a second parameter for each of the plurality of regions based on first pixel values output from the plurality of first light receiving elements included in each of the plurality of regions and second pixel values output from the plurality of second light receiving elements, determine a type of a light source corresponding to each of the plurality of regions, based on a value of the second reference parameter included in data about the correlationship corresponding to the calculated values of the first parameter and values of the second parameter calculated for each of the plurality of regions, and determine a type of a light source of the image based on the determined types of the light source. In addition, various other embodiments recognized from the specification are also possible.

A method and an ambient light color sensor adapted to determine color of ambient light comprising a memory, a processor, and a light color sensor with a plurality of channels that detect light at different wavelengths. Wherein the memory comprises a calibration matrix determined by calibrating a test light color sensing device under at least one ambient lighting condition, and a normalized gain value for each channel determined by calibrating the ambient light color sensing device to an artificial light source. Wherein the processor receives the sensor readings from the light color sensor, normalizes each received sensor reading using the normalized gain value of a respective channel, determines at least one measured light color value that quantifies color of light from the normalized sensor readings, and determines at least one calibrated light color value by correlating the at least one measured light color value through the calibration matrix.

A method and apparatus with image correction is provided. A processor-implemented method includes generating, using a neural network model provided an input image, an illumination map including illumination values dependent on respective color casts by one or more illuminants individually affecting each pixel of the input image, and generating a white-adjusted image by removing at least a portion of the color casts from the input image using the generated illumination map.

A terminal device calibrates a to-be-detected image based on a light source color temperature and scene brightness that are obtained during imaging of the to-be-detected image and based on a preset reference color card image set to restore a real color of the to-be-detected image to a greatest extent.

An ambient light color sensing device adapted to determine color of ambient light and method for calibrating thereof. The ambient light color sensing device comprises a memory, a processor, and a light color sensor having a plurality of channels that detect light at different wavelengths to produce sensor readings. Wherein the processor receives sensor readings from the light color sensor, determines an interpolated spectral power distribution from the received sensor readings, converts the interpolated spectral power distribution to at least one measured light color value that quantifies color of light, and determines at least one calibrated light color value by correlating the at least one measured light color value through a calibration matrix.

An object of the present disclosure is to provide a technique for creating color conversion parameters for performing highly accurate conversion. One embodiment of the present invention is an information processing apparatus including: an acquisition unit configured to acquire information relating to a geometrical condition in a case where a color chart irradiated with light is captured; and a determination unit configured to determine a position at which each of a plurality of color patches is laid out in the color chart based on the geometrical condition.

Disclosed is an image processing apparatus including: a derivation unit configured to derive a target luminance characteristic based on a viewing condition of an image and a print luminance characteristic predicted based a reflection characteristic corresponding to data thereon; a unit configured to generate print image data on an image by converting input image data by using a tone conversion characteristic that is set based on these characteristics, in which the derivation unit derives, in a case where a reproduction range of an illumination intensity in the print luminance characteristic is different, the target luminance characteristic so that a liner area of an output luminance in a case where the reproduction range is relatively large becomes large.

A method performs color control in a printing operation on a printing machine by use of a computer. The computer uses an input profile to transform print image data from a first color space to a device-independent color space, subsequently uses an output profile to transform the print image data into a second color space dependent on the printing machine. The computer compares measurement conditions of the used input profile and of the output profile to be generated, and, if there are differences between the respective measurement conditions, adapts the print image data in the device-independent color space to deviating measurement conditions of the output profile. The printing machine subsequently executes the printing operation using the print image data, and wherein UV light excitation is used for the measurement conditions of the output profile.