An image processing apparatus which generates data to be output to a projector in order to superimpose an image displayed by the projector on an image formed on a recording medium by a printer, and which has a first acquisition unit for acquiring image data representing an image to be reproduced, a second acquisition unit for acquiring information for specifying a reflection characteristic of the image to be formed on the recording medium by the printer, and a correction unit for correcting a brightness of color of the image represented by the image data based on the information.

A method, system, and computer program product for applying a perceptually uniform color space to image color values within a captured image data. The method includes identifying, via a processor of an image capturing device, a perceptually uniform color space that includes only real colors identified within a plurality of real-world images. The method further includes applying, via the processor, the perceptually uniform color space to a color processing stage of an image processing pipeline. The method further includes in response to receiving, at the image capturing device, image data including image color values associated with a primary color space, converting, via the processor, the image color values to the perceptually uniform color space to generate image data having more perceptual uniformity for colors that are frequent in the real world.

A color conversion processing apparatus that converts a signal value of an input image into an output value of an actual color material used in an image forming apparatus, and includes: an acquisition unit configured to acquire a printing setting for the input image; and a conversion unit configured to convert the signal value of the input image into the output value of the actual color material in accordance with the acquired printing setting, and the conversion unit performs the conversion while maintaining a relationship between the signal value of the input image and output values of a virtual color material, the number of virtual color materials is smaller than the number of actual color materials and the respective virtual color materials have respective densities corresponding to respective wavelength bands obtained by dividing a wavelength range reproduced by the actual color materials being output into a plurality of wavelength bands, the output values of the plurality of virtual color materials are determined based on the respective densities corresponding to the respective wavelength bands, and the relationship is a relationship that increases monotonically and whose secondary differential does not become negative.

There is provided an image processing apparatus that outputs projection image data to a projection unit configured to display an image by projecting a projection image onto a print image at a projection plane. A first acquisition unit acquires image data. A second acquisition unit acquires parameters related to reflectances at a plurality of positions on the print image. A setting unit sets an offset value for performing offset adjustment of at least one color of the image at the projection plane. A correction unit configured to generate the projection image data by correcting a pixel value of a pixel in the image data based on the offset value and the parameter at a position in the print image that corresponds to the pixel.

An image processing apparatus includes a control unit configured to execute processing for converting a red green blue (RGB) format in which colors of a first reference image not including liquid leakage are expressed into a hue saturation value (HSV) format, and for extracting a second reference image consisting of S components from the first reference image having colors expressed in the HSV format, processing for converting the RGB format in which colors of a first detection target image are expressed into the HSV format, and extracting a second detection target image consisting of S components from the first detection target image having colors expressed in the HSV format, and processing for generating a third reference image and a third detection target image by smoothing the second reference image and the second detection target image, respectively.

An image processing apparatus includes an acquisition unit configured to acquire an image, an image processing unit configured to perform image processing on the acquired image, and an output unit configured to output the image having undergone the image processing to an output destination. The image processing unit is able to perform replacement processing for replacing colors of predetermined image portions in the acquired image with a color selected from a plurality of predetermined different colors based on the colors of the predetermined image portions. The output unit is able to output the acquired image having undergone the replacement processing to the output destination, and to output the image not having undergone the replacement processing to the output destination.

A method monitors a color standard for a machine for processing printing material. The color standard results from various parameters of the printing operation and correspondingly associated set points. The color standard may be modified and individually adapted to every machine. The machine is equipped such that current values of the parameters of the color standard are measured and forwarded to a computer. The computer compares these values and predefined set points of the color standard, and based on this information, makes an assessment of the color and quality level achieved in the printing operation. The computer outputs control signals based on the monitoring. The control signals influence the machine control and/or the determining of the current values of the parameters of the color standard in a feedback loop. The color standard is modifiable by the operator by a different selection and weighting of the parameters and the set points.

A printing method with fan-out control minimizes register deviations by using a computer. The method includes printing a test print including various color separations. The register deviations that have occurred relative to a reference color are measured. The absolute total of the register deviations of all color separations relative to one another is calculated. At least one color separation to be adapted is selected as a function of the calculated absolute total of all color separations. The at least one selected color separation is adapted. Finally, the register deviations that have occurred are compensates for by creating and using at least one printing plate for the adapted at least one color separation.

A method of processing a video frame, an electronic device, and a storage medium, which relate to a field of an artificial intelligence technology, in particular to fields of computer vision and deep learning technologies, and may be applied to image processing, image recognition and other scenarios. A specific implementation solution includes: determining an enhancement configuration information in response to an image enhancement request for an initial video frame, wherein the enhancement configuration information includes an information related to adjusting a current attribute value of at least one image attribute of the initial video frame to a target attribute value, and adjusting, by using an image enhancement tool, the current attribute value of the at least one image attribute of the initial video frame according to the enhancement configuration information, so as to obtain a target video frame, wherein the image enhancement tool supports an encryption function.

A camera apparatus includes control circuitry configured to acquire an input color image of an agricultural field, detect one or more foliage regions, and generate output binary mask images of foliage mask indicating one or more foliage regions and a soil region. The control circuitry is configured to convert the input color image to a Hue, Saturation, Lightness (HSV) color space to obtain an HSV image. Thereafter, the control circuitry is configured to selectively adjust a hue component and convert back to the RGB color space to obtain a soil region-adjusted RGB image. Furthermore, generate an augmented color image by combining pixels of the soil region, with pixels of the one or more foliage regions and utilize the generated augmented color image in training of a crop detection (CD) neural network model to learn a plurality of different types of soil and a range of color variation of soil.