A method and system for determining parameters of an image processing pipeline of a digital camera is disclosed. The image processing pipeline transforms captured image data on a scene into rendered image data. Rendered image data produced by the image processing pipeline of the camera is obtained from the captured image data on the scene. At least a subset of the captured image data on the scene is determined and a ranking order for pixels of the rendered image data is obtained. A set of constraints from the captured image data and the ranked rendered image data is determined, each constraint of the set being determined in dependence on selected pair combinations of pixel values when taken in said ranking order of the rendered image data and corresponding pair combinations of the captured image data. Parameters of the image processing pipeline are determined that satisfy the sets of constraints.

Enabling adjustment of sharpness and details of an input image in upscaling, including: applying a Fourier transform function on a brightness channel of the input image to generate a 2-D frequency map; adjusting the 2-D frequency map to control a target amount of sharpness and details in an upscaled output image; and using the adjusted 2-D frequency map as an additional input channel along with standard color image data for a training and upscaling process.

A non-transitory computer-readable recording medium stores computer-readable instructions, when executed by a processor of an information processing apparatus, causing the information processing apparatus to perform: receiving a parameter from a first other program different from the program; in response to receiving the parameter from the first other program, transmitting a scan execution command including the received parameter to a scanner through a communication interface of the information processing apparatus, the parameter being indicative of a setting value that is set for executing scan processing on the scanner; receiving mode selection information from a second other program different from the program and from the first other program; and in response to receiving the mode selection information from the second other program, converting the received mode selection information into a parameter, and transmitting a scan execution command including the converted parameter to the scanner through the communication interface.

A disclosed scaler resource includes a color management module configured to support two or more color space transformations and two or more color temperature adjustment profiles and to receive first pixel data and perform color processing of the first pixel data to produce second pixel data. The color processing includes a color space transformation in accordance with any of the supported color space transformation matrices and a color temperature adjustment in accordance with any of the supported color temperature adjustment profiles. The color processing is configured wherein a ratio of primary colors produced by performing the color processing on first pixel data corresponding to any primary color is independent of the selected color temperature adjustment profile. The color space transformation may be performed before or after the color temperature adjustment. When performed before, the color transformation matrix is modified to reflect the color temperature adjust profile.

In a case where a color space that is specified by a specification unit is a predetermined color space corresponding to information that is held in advance before an image processing apparatus obtains image data, even if obtained predetermined information includes color conversion information for converting the color space of the obtained image data into another color space, a conversion unit converts the color space of the obtained image data by use of the information that is held in advance before the image processing apparatus obtains the image data, without using the color conversion information that is included in the obtained predetermined information.

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.

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.

An apparatus includes a print controller configured to perform color conversion on data using a color profile to generate image data for use in printing. The apparatus further includes a controller configured to acquire information regarding characteristic information of at least one illumination apparatus via a network, acquire first characteristic information based on the information regarding the characteristic information of the at least one illumination apparatus, acquire second characteristic information based on a color chart of the apparatus, and generate a color profile based on the first and second characteristic information.

Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

Certain examples described herein relate to color spaces. In some cases, first and second sets of output color values representable in an output color space are obtained. The first and second sets of output color values correspond to first and second operating states of a printing system respectively. Each output color value in the first and second sets has corresponding coordinates in a colorimetry space. The first and second sets of output color values define respective first and second gamuts in the colorimetry space. First and second colorimetry values in an intersection of the first and second gamuts in the colorimetry space are selected, the selecting based on the respective colorimetry of the first and second colorimetry values and a predetermined transition region in an input color space. For an input color value located in the predetermined transition region of the input color space, a corresponding target colorimetry value located between the first and second colorimetry values in the colorimetry space is obtained. First and second output color values are derived based on the target colorimetry value and the first and second sets of output color values, respectively. First and second mappings between the input color space and the output color space are generated by respectively assigning the first and second output color values to the input color value.