Provided is an image area extraction method for extracting an image area of an object from a color image of obtained color image data. The image data extraction method includes converting RGB values of each pixel in the color image data into HSV values, performing threshold processing to binarize at least one of the converted S and V values of each pixel so that it will be converted into HSV values, generating composite image data including an X value, a Y value, and a Z value for each pixel, the X value, the Y value, and the Z value being obtained by adding values according to predetermined one-to-one combinations between any one of an R value, a G value, and a B value and any one of an H value, an S value, and a V value, and extracting the image area using the composite image data.

A device such as a color printer includes a main memory, a cache memory, and a convolutional neural network configured to convert pixels from a first color space to a second color space. The convolutional neural network is organized into execution-separable layers, and loaded one or more layer at a time (depending on cache size) from the main memory to the cache memory, whereby the pixels are processed through each of the layers in the cache memory, and layers that have completed processing are evicted to make room for caching next layer(s) of the network.

A printing system is disclosed. The printing system includes a color management unit having a common color engine (CCE) to map input colors matching one of more criteria into output colors having a single color component to generate Preserve-X colors and a color cache to store the Preserve-X colors. The Preserve-X colors include the corresponding pairs of input colors and output colors.

A method of color halftone processing is disclosed. A plurality of color mappings each provide a mapping from a color value in a color space to a set of Neugebauer Primary area coverage (NPac) values in an NPac space. An imaging metric is obtained for each NPac value in the set. An NPac value in the set is selected based on the imaging metric. The selected NPac value is used as an output NPac value in a combined color mapping for the color value.

Provided are a display device and an image processing method thereof. In an embodiment, the display device includes a display panel including a plurality of pixels formed of red, green, blue, and white sub pixels, and an image processing unit for converting a three-color input image supplied to the red, green, blue, and white sub pixels into four-color image data and outputting an output image by applying a final gain calculated using a frame gain, a pixel gain, and a block gain of the pixels. The display device also includes a timing controller for outputting the output image from the image processing unit to the display panel. The block gain may be calculated using scaled versions of luminance values determined by converting a luminance of the three-color input image and position information of the pixels.

Embodiments disclosed herein relate to a method monitoring a level of a biomarker found in a bodily fluid of a user. The client device receives an indication to capture a biomarker level reading of a test pad on a test strip. The test pad contains a reactant disposed thereon that, when placed into contact with a sample of the bodily fluid, displays a color related to a level of concentration of the biomarker in the bodily fluid. The client device identifies, with a camera, a portion of the test strip containing the test pad displaying the color related to the concentration level of the biomarker. The client device identifies the color displayed on the test strip. The client device correlates the identified color displayed on the test strip to the level of the biomarker. The client device updates the account of the user with the determined biomarker level.

In printing, it is possible to more easily reduce a change in color that is caused by the surface form of an image to be formed. A color correction unit configured to correct color data representing a color by using a correction value in accordance with gloss data representing gloss, a color conversion unit configured to convert the corrected color data into color material amount data, a first generation unit configured to generate, based on the color material amount data, data that is used to form a color development layer among the print data and which makes the color development layer flat and smooth, and a second generation unit configured to generate, based on the gloss data, data that is used to form a glossy layer among the print data are included.

A color estimation system provided with a correlation memory unit storing a correlation model that accepts an image or information of image, and outputting an ink-color set that is a color combination of inks used in reproducing the image by printing; and a color combination extracting unit that extracts the ink-color set corresponding to a print image, which is an image to be printed, by providing an input of the print image or image information of the print image to the correlation model. The correlation model is generated by performing machine learning that generates a correlation between the image information and the ink-color set such that the ink-color set is outputted based on the image information, using a reference image of which the ink-color set necessary for a printing is known in advance.

An image processing apparatus includes one or more processors that are configured to obtain image data obtained by optically reading an original image, to obtain a fluorescence light emission amount obtained by optically detecting a fluorescent color material in the original image, to estimate, based on the obtained fluorescence light emission amount, a color component attributable to the fluorescent color material in the obtained image data, the color component attributable to the fluorescent color material including a color component of reflected light in the fluorescent color material and a color component caused by emission when the fluorescent color material transitions from an excited state to a ground state, to separate a color component attributable to a subtractive color mixture color material from the obtained image data by using the estimated color component attributable to the fluorescent color material, and to output image data obtained by the separation.

A method for color mapping is disclosed. A color mapping is generated based on an imaging model and a color model for an imaging device. The imaging model allows a set of perturbations to be modelled. A set of metamers is determined for one or more colors. For each metamer, at least the imaging model is used to estimate a color output with at least one modelled perturbation. The color outputs are used to select a metamer from the set to be used for the color mapping.