A method for printing an object using a color image printer is provided. The printer applies colorant dots having a flat shape. The object has an apparent surface with a locally varying color for representing a color image on the surface. The printer comprises a white colorant, that is applied as a background underneath a surface colorant for begetting a local color of the apparent surface. The invented method comprises the steps of: generating two-dimensional image data for composing the object in slices; determining a local surface orientation of the apparent surface of the object; and applying colorant material in accordance with the two-dimensional image data, wherein, in dependence on the local surface orientation, white colorant dots are deposited between other colorant dots to compensate a color effect of an orientation of a surface colorant dot relative to the local surface orientation.

An information processing apparatus and method for relighting captured images in a virtual reality environment is provided. Righting processing performed by the apparatus includes acquiring an input image, acquiring a target image, determining at least one shared reference region for the acquired input image and at least one shared reference region for the acquired target image, determining a transform matrix based on the color space of the shared region, applying the transform matrix to at least a portion of the acquired input image, outputting the transformed portion of the acquired input image, and displaying the outputted transformed portion of the acquired input image.

An image processing apparatus is provided and includes one or more processors and one or more memories storing instructions that, when executed, configures the one or more processors, to receive a captured video from a camera capturing a meeting room, extract and store a predefined region of the video as extracted image data, generate a first corrected image by performing first image correction processing on the extracted image data to correct noise and generate a binary mask of the first corrected image, generate a filtered image based on the binary mask of the first corrected image and the first corrected image, generate a second corrected image by performing second image correction processing on the filtered image; and perform blending processing that combines the second corrected image with the first corrected image to generate a final corrected image.

An image composition apparatus according to the present invention comprising: an image acquiring section for acquiring first image data and second image data; a subtraction processing section for obtaining a difference value for each pixel for at least a part of the first image data and at least a part of the second image data; a filter processing section for applying filter processing based on a spatial frequency of an image to the difference value; and an image composition section for compositing at least a part of the first image data with at least a part of the second image data on the basis of an output of the filter processing.

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, measuring the register deviations that have occurred relative to a reference color, calculating the absolute total of the register deviations of all color separations relative to one another, selecting at least one color separation to be adapted as a function of the calculated absolute total of all color separations, adapting the at least one selected color separation, and compensating for the register deviations that have occurred by creating and using at least one printing plate for the adapted at least one color separation.

A method and a system for enhancing colors of an image are disclosed. The method comprises: converting the color components in an RGB color space of each pixel in an image into a hue component, a saturation component, and a value component in an HSV color space of the pixel; stretching the saturation component when it is greater than 0 and smaller than 1; converting the hue component, the stretched saturation component, and the value component into an enhanced red component, an enhanced green component, and an enhanced blue component in the RGB color space. Through the method, the phenomenon of color shift can be prevented, thus enabling the image to be brighter and vivider. Hence, the viewers' visual experience can be improved. The method can relieve the problems of color shift and picture washout.

An image data generating apparatus includes an extracting unit and a generating unit. The extracting unit extracts one or more pixels corresponding to a metallic-color region expressed by a metallic color, by using lightness and saturation of a read image and lightness and saturation of a captured image, the read image being obtained by reading a document having the metallic-color region, the captured image being obtained by capturing an image of the document. The generating unit generates image data in which the one or more pixels corresponding to the metallic-color region and extracted by the extracting unit are colored in the metallic color.

A training server acquires an input color image of an agricultural field, detects one or more foliage regions in the input color image, and generates output binary mask images of foliage mask indicating one or more foliage regions and a soil region. The training server further generates an augmented color image by combining pixels of the soil region adjusted for soil hue, with pixels of the one or more foliage regions unaltered from the acquired input color image in the RGB color space. The training server then utilizes the generated augmented color image in training of a crop detection (CD) neural network model.

A method for printing an object using a color image printer is provided. The printer applies colorant dots having a flat shape. The object has an apparent surface with a locally varying color for representing a color image on the surface. The printer comprises a white colorant, that is applied as a background underneath a surface colorant for begetting a local color of the apparent surface. The invented method comprises the steps of: generating two-dimensional image data for composing the object in slices; determining a local surface orientation of the apparent surface of the object; and applying colorant material in accordance with the two-dimensional image data, wherein, in dependence on the local surface orientation, white colorant dots are deposited between other colorant dots to compensate a color effect of an orientation of a surface colorant dot relative to the local surface orientation.

A system includes a training server that in a training phase causes a custom neural network model for foliage detection to learn features related to foliage from a modified training dataset and further learn a color variation range of a predefined color associated with the features. A combination of the features related to foliage and the color variation range of the predefined color is utilized to obtain a trained custom neural network model that is deployed in a camera apparatus. The camera apparatus in the operational phase captures a new color image of an agricultural field, operates the trained custom neural network model to detect one or more foliage regions in the new color image in a real time or near real time, and operates at least one of a plurality of agricultural implements, based on the detected one or more foliage regions in the new color image.