Abstract: Aspects of the present invention relate to a control system (1) for identifying at least a first activity performed by a person of interest (POI-n). The control system (1) includes a controller having a processor (20) and a system memory (26). The controller (13) is configured to receive image data (DIMG1, DIMG2) from at least one imaging device (C1, C2). The image data (DIMG1, DIMG2) includes at least one image frame representing an image scene including at least a portion of a person of interest (POI-n). The image data (DIMG1, DIMG2) is analysed to identify a skeletal model (15) of the at least a portion of the person of interest (POI-n); and at least one object of interest (OOI-n) with which the person of interest (POI-n) is interacting. The first activity being performed by the person of interest (POI-n) is identified in dependence on the skeletal model (15) and the identified object of interest (OOI-n).

Abstract: Apparatuses, systems, and techniques to perform effective tone management for image data. In an embodiment, a set of contrast gain curves are generated corresponding to a set of tonal ranges of an input image. An output image may then be generated by at least applying corresponding contrast gain curves to tonal ranges of the input image.

Abstract: A data storage device and method for host-assisted improved error recovery using a correlation factor are provided. In one embodiment, the data storage device receives, from a host, an indication that data associated with a first logical address is correlated with data associated with a second logical address; determines a correlation factor based on a degree of correlation between the data associated with the first logical address and the data associated with the second logical address; and in response to the correlation factor being above a threshold: stores the data associated with the first logical address and the data associated with the second logical address in different regions of the memory having different bit error rates; and uses the data associated with the first logical address to assist in correcting an error in the data associated with the second logical address. Other embodiments are provided.

Abstract: Disclosed is a saturation enhancement method, the method comprising: performing color space conversion on an input image to obtain color data of color conversion; performing saturation expansion on the color data of the color conversion to obtain expanded color data; and performing Gamma preprocessing on the expanded color data to obtain processed color data. Also disclosed are a saturation enhancement device and a computer readable storage medium.

Abstract: A purple-fringe correction method includes determining: (1) a first distance between a first pixel in a purple-fringe area in an image and an overexposed area in the image and (2) a second distance between the first pixel and a non-overexposed, non-purple-fringe area in the image. The first pixel in the purple-fringe area is corrected based on the first distance and the second distance.

Abstract: An image processing module configured to implement a multi-part trained artificial intelligence model, wherein the image processing module is configured to: receive an input image; implement a first part of the model to determine a first transformation for the image in a first colour space; apply the first transformation to the image to form a first adjusted image; implement a second part of the model to determine a second transformation for the image in a second colour space; apply the second transformation to the first adjusted image to form a second adjusted image; and output an image derived from the second adjusted image.

Abstract: Systems, apparatuses, and methods for reducing three dimensional (3D) lookup table (LUT) interpolation error while minimizing on-chip storage are disclosed. A processor generates a plurality of mappings from a first gamut to a second gamut at locations interspersed throughout a 3D representation of the pixel component space. For example, in one implementation, the processor calculates mappings for 17×17×17 vertices within the 3D representation. Other implementations can include other numbers of vertices. Rather than increasing the number of vertices to reduce interpolation error, the processor calculates mappings for centroids of the sub-cubes defined by the vertices within the 3D representation of the first gamut. This results in a smaller increase to the LUT size as compared to increasing the number of vertices. The centroid mappings are used for performing tetrahedral interpolation to map source pixels in the first gamut into the second gamut with a reduced amount of interpolation error.

Abstract: An image processing system includes one or more processors that select one target algorithm from evaluation algorithms, calculate an evaluation value indicating adaptation to image measurement using the target algorithm and one or more evaluation images corresponding to an evaluation lighting pattern for each evaluation lighting pattern, and determine a lighting pattern to be used for the image measurement from evaluation lighting patterns based on the evaluation value.

Abstract: An image processing apparatus obtains image data that is defined as a first color gamut, transforms the image data into image data that is defined as a second color gamut, using color transformation information, and when, as a result of transformation, a first pair of color values included in the image data is transformed into a second pair of color values that have a color difference that is not perceived as different colors, generates second color transformation information such that the first pair of color values is transformed into a third pair of color values that have a color difference that is perceived as different colors as a result of transformation using the second color transformation information. A saturation difference of the third pair of color values is larger than a saturation difference of the second pair of color values.

Abstract: The printing device includes a print head, a plurality of measuring members, and a controller. The print head is configured to print a patch chart on a print medium. The patch chart includes a plurality of patches including a plurality of first patches and one or more second patches. Each first patch has a predetermined color. Each second patch has a user specified color represented by an input color value. Each of the plurality of measuring members is configured to measure a color of a patch. The controller is configured to perform: a second-patch measurement process to control each of the plurality of measuring members to measure a color of each second patch to acquire a plurality of color values for the each second patch.

Abstract: During the rendering of an image, specific pixels in the image are identified where antialiasing would be helpful. Antialiasing is then performed on these identified pixels, where anti-aliasing is a technique used to add greater realism to a digital image by smoothing jagged edges. This reduces a cost of performing antialiasing by reducing a number of pixels within an image on which antialiasing is performed.

Abstract: An image processing method and a related electronic device. The method includes: starting a camera in response to a first operation; acquiring, by the camera, a first image in response to a second operation; performing first image processing on the first image to obtain a second image in a second color space; obtaining a second parameter based on a first parameter of a first ambient light source, where the first parameter includes a white balance parameter of the first ambient light source, the second parameter is used to identify light source information of the first ambient light source in a third color space, and the third color space is different from the first color space and the second color space; performing second image processing on the second image based on the second parameter to obtain a target image; and storing the target image.

Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor, detecting, in a linear domain, color fringing areas in the image, correcting detected color fringing areas to obtain a corrected image, performing tone mapping to the corrected image to obtain a tone mapped image and storing, displaying, or transmitting an output image based on at least the tone mapped image.

Abstract: A contrastive learning method for color constancy employs a fully-supervised construction of contrastive pairs, driven by a novel data augmentation. The contrastive learning method includes receiving two training images, constructing positive and negative contrastive pairs by the novel data augmentation, extracting representations by a feature extraction function, and training a color constancy model by contrastive learning representations in the positive contrastive pair are closer than representations in the negative contrastive pair. The positive contrastive pair contains images having an identical illuminant while negative contrastive pair contains images having different illuminants. The contrastive learning method improves the performance without additional computational costs. The desired contrastive pairs allow the color constancy model to learn better illuminant feature that are particular robust to worse-cases in data sparse regions.

Abstract: To provide an image forming apparatus capable of sufficiently correcting deviation of a recording material by an oscillation operation of a registration roller. Configuring an image forming apparatus including: a conveyor that conveys a recording material; a transferer that includes a transfer roller that transfers a toner image onto the recording material; a fixer that includes a fixing roller that fixes the toner image formed on the recording material; a deviation detector that detects a position of the recording material in a conveyance intersecting direction; a deviation corrector that is located on an upstream side of the transferer and moves the recording material in the conveyance intersecting direction to correct deviation of the recording material; and a controller that controls a drive amount of the deviation corrector on the basis of a detection result of the deviation detector and the pressure contact force of a nipper nipping the recording material being conveyed.

Abstract: An identification apparatus includes a guide member defining a guide path, a scanning portion that scans the sheet inserted in the guide path, a first detection portion disposed upstream of the scanning portion in an insertion direction of the sheet in the guide path that detects presence/absence of the sheet, and a second detection portion disposed downstream of the scanning portion in the insertion direction in the guide path and detects presence/absence of the sheet. The identification apparatus is configured to start measurement of a surface property of the sheet by the scanning portion in response to a change in a detection result of one of the first detection portion or the second detection portion, and complete the measurement in response to a change in a detection result whichever of the first detection portion or the second detection portion not used in determining the start of the measurement.

Abstract: A method for characterizing a digital color camera includes, for each of three primary colors used in a field sequential color virtual image, determining a conversion model for each color using RGB values and the color-measurement values. For each primary color, the method includes illuminating a display device using an input light beam of a primary color having spectral properties representative of a light beam in a virtual image in a wearable device. The method includes capturing, with the digital color camera, an image of the display device, and determining, from the image, RGB values for each primary color. The method includes capturing, with a color-measurement device, a color-measurement value associated with each corresponding primary color at the display device, thereby acquiring a color-measurement value in an absolute color space. A conversion model for each color is determined using RGB values and the color-measurement values.

Abstract: An image processor comprising a plurality of processing modules configured to transform a raw image into an output image. The plurality of processing modules comprise a first module and a second module, each of which implements a respective trained artificial intelligence model. The first module is configured to implement an image transformation operation that recovers luminance from the raw image. The second module is configured to implement an image transformation operation that recovers chrominance from the raw image.

Abstract: Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image, wherein each of the first plurality of pixels is located in a background region of the digital image; assigning each pixel a label of either foreground or background using an adaptive label learning process; binarizing the digital image based on the labels assigned to each pixel; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.

Abstract: A signal generation circuit including a first control circuit, a second control circuit, an arbiter circuit, and a digital-to-analog converter (DAC) circuit is provided. The first control circuit stores a first string of data. The first control circuit enables a first trigger signal in response to a first event occurring. The second control circuit stores a second string of data. The second control circuit enables a second trigger signal in response to a second event occurring. The arbiter circuit reads the first or second control circuit according to the order of priority to use the first string of data or the second string of data as a digital input in response to the first and second trigger signals being enabled. The DAC circuit converts the digital input to generate an analog output.

Abstract: An image processing apparatus comprising: a decision unit configured to decide a first color mapping method to a print color gamut for a first partial original based on a pixel value included in the first partial original and the print color gamut of a print unit and decide a second color mapping method to a print color gamut for a second partial original based on a pixel value included in the second partial original and the print color gamut of the print unit; and a color conversion unit configured to perform color conversion of the first partial original by the first color mapping method decided, and perform color conversion of the second partial original by the second color mapping method decided.

Abstract: The invention includes a method for the computer-aided performance of color space transformations with high accuracy that provides a result which is as close as possible to the original. The source color space includes n colors, the target color space includes m values, and combinations of the m components of the target color space are assigned to at least some combinations of the n colors of the source color space via the transformation rule TRV.

Abstract: The present disclosure discloses methods and systems for detecting an IR security mark in a document based on known color information and halftone frequency information. The method includes receiving a document from a user, including an IR security mark. Then, location information, color information and halftone frequency information are received from the user. The document is scanned. Based on the color information and the location information, the IR security mark is extracted from the scanned document. After this, halftone frequency information of the extracted IR security mark is verified. Based on the verification, text in the extracted IR security mark is identified and is then compared with one or more pre-stored IR security marks to ascertain whether the IR security mark in the document is an authentic security mark.

Abstract: A spot color adjustment system allows an operator to adjust spot colors through the use of test charts printed at a printing device. A target color swatch is determined from a first spot color. A test chart is generated based on the target color swatch that includes a plurality of rings of color swatches centered on the target color swatch. Each ring of color swatches is positioned around the target color swatch at an adjustment value. The adjustment value for each ring of color swatches corresponds to a color change from the target color swatch. The system allows for determining a number of rings of color swatches depending on a selected paper size. The outer rings of a large number of rings of color include intermediary color swatches. A midpoint color is determined from a plurality of selected color swatches. The system provides color swatches showing gray component replacement.

Abstract: A method of measuring chromaticity of a target object is implemented using a computer device that stores a plurality of light source spectrum datasets each associated with a specific object. The method includes: obtaining a captured color image of the target object; generating a spectral image based on the captured color image using a spectral transformation matrix; obtaining one of the plurality of light source spectrum datasets that is associated with the target object; and calculating a chromaticity dataset of the target object based on the spectral image and the one of the plurality of light source spectrum datasets.

Abstract: A determination device selects a determination area included in a captured image acquired by an imaging data acquisition device, extracts a determination image of a preset target color from the selected determination area, binarizes gradation data of the target color in pixel regions constituting the extracted determination image by using a binarization threshold suitable for each determination area to acquire binarized reference binary data of the determination image, converts the gradation data of the target color in the pixel regions constituting the extracted determination image with respect to a dark portion of the determination image to acquire converted gradation data, binarizes the acquired converted gradation data by using the binarization threshold to acquire comparison binary data, and acquires, based on comparing the reference binary data with the comparison binary data, a determination value for determining a printing method used to produce a printed surface of a printed product.

Abstract: Systems and methods are provided for generating color video from a dual-context camera. A dual-context camera provides a first series of video frames encoded in accordance with a full color model and a second series of video frames encoded in accordance with an underdetermined color model. The two series of video frames are interleaved as to form a series of pairs of frames, each comprising a color video frame and an underdetermined video frame. An image merger generates a composite image for each pair of frames in the series of frames. The composite image includes a set of brightness values from the underdetermined video frame and a set of chrominance values from the color video frame. A color video source replaces the underdetermined image in each of the series of pairs of frames with the composite image generated for the pair of frames to provide a color video stream.

Abstract: A first content image and a second content image is acquired, a first content image has first color information, a first pattern image having a first color scheme is determined based on the first color information, the first content image is displayed on a screen, the first pattern image is displayed on the screen after displaying the first content image, and the second content image is displayed on the screen after displaying the first pattern image.

Abstract: A digital broadcast receiving apparatus capable of executing a function with a higher added value is provided. A broadcast receiving apparatus configured to receive contents includes: a receiving unit configured to receive the contents; an interface via which the contents received by the receiving unit is outputted; a control unit configured to control an output state of the contents from the interface. In this case, the control unit is configured to determine the output state of the contents from the interface in accordance with a combination of control information indicating a copy control state of the contents, control information for specifying necessity or not of protection when to output the contents, information indicating resolution of video of the contents, and information indicating transmission characteristics of video of the contents, which are received by the receiving unit together with the contents.

Abstract: A spot color adjustment system allows an operator to adjust spot colors through the use of test charts printed at a printing device. A target color swatch is determined from a first spot color. A test chart is generated based on the target color swatch that includes a plurality of rings of color swatches centered on the target color swatch. Each ring of color swatches is positioned around the target color swatch at an adjustment value. The adjustment value for each ring of color swatches corresponds to a color change from the target color swatch. The system allows for determining a number of rings of color swatches depending on a selected paper size. The outer rings of a large number of rings of color include intermediary color swatches. A midpoint color is determined from a plurality of selected color swatches. The system provides color swatches showing gray component replacement.

Abstract: Image recognition may include obtaining a first image, segmenting the first image into a plurality of first regions by using a target model, and searching for a target region among bounding boxes in the first image that use points in the first regions as centers. The target region is a bounding box in the first image in which a target object is located. The target model is a pre-trained neural network model configured to recognize from an image, a region in which the target object is located. The target model is obtained through training by using positive samples with a region in which the target object is located marked and negative samples with a region in which a noise is located marked. The target region is marked in the first image to improve accuracy of target object detection in an image.

Abstract: A spot color adjustment system allows an operator to adjust spot colors through the use of test charts printed at a printing device. A target color swatch is determined from a first spot color. A test chart is generated based on the target color swatch. The test chart includes a plurality of rings of color swatches centered on the target color swatch. Each ring of color swatches is positioned around the target color swatch at an adjustment value. The adjustment value for each ring of color swatches corresponds to a color change from the target color swatch. The number of color swatches in each ring increases as they extend away from the target color swatch. A subsequent color swatch is selected having a second spot color from one of the color swatches. A new test chart is generated based on the second spot color of the subsequent color swatch.

Abstract: Embodiments of the present disclosure relate to computer storage, methods, and systems for the optimization of accessible color themes. Systems and methods are disclosed that leverage the use of confusion lines to identify and highlight relationships between colors that may be inaccessible (e.g., indistinguishable) for a person with a vision impairment, such as a color vision deficiency. In some embodiments, a graphical user interface is provided that, based on a selection of colors in a color wheel, visually indicates curves of confusion for each color in the selection of colors. Each curve of confusion visually indicates a confusion of colors for a type of vision impairment, such as a CVD.

Abstract: An image processing apparatus according to the present invention includes an image forming unit configured to form an image, a measuring unit configured to measure the formed image, a control unit configured to control execution of a single-color calibration to be performed to correct reproduction characteristics of a single-color formed by the image forming unit based on a measuring result of a single-color image formed with a single-color recording agent and execution of a multi-color calibration to be performed to correct reproduction characteristics of a multi-color image formed by the image forming unit based on a measuring result of a multi-color formed with a plurality of recording agents, and a selection unit configured to select whether to cause the control unit to perform the multi-color calibration after completing the single-color calibration or cause the control unit to perform any one of the single-color calibration and the multi-color calibration.

Abstract: A maintenance method for a laboratory system comprising a first and second group of laboratory instruments for processing biological samples, data collection components connected to the groups of instruments, and a remote maintenance system connected to the data collection components is presented.

Abstract: A medical device that includes a sensor including a filter array. The sensor is configured to capture a raw image and the filter array is configured to filter the raw image into a frame of raw pixel values including first, second, and third pixel values. The medical device includes non-transitory computer readable medium storing demosaicing instructions that, when executed, causes a processor to exclude the first pixel values from the frame of raw pixel values. The processor generates estimated second pixel values at locations of the excluded first pixel values and the third pixel values on the frame, and generates estimated third pixel values at locations of the excluded first pixel values and the second pixel values on the frame. The processor creates a processed image having a partial-resolution frame from the second pixel values, estimated second pixel values, third pixel values, and estimated third pixel values.

Abstract: For determining a match factor regarding color match of a printed product with target values for colors, measuring fields of a printout are spectrally measured and actual measured values of the printout recorded. The target values are compared with actual measured values by determining for the printed product a color value axis from a unique color value as a start point to a second unique color value as end point and interpolation points between the first and second unique color values; determining target values for start and end points and interpolation points; determining actual measured values for start and end points and interpolation points of the printout from the actual measured values; determining a distance value representing the distance between target value and actual measured value for each start point, end point, and interpolation point; and calculating and outputting the match factor as statistical average of the distance values.

Abstract: An information loss determiner in an image processing device determines whether character collapse has occurred in a simple binarized image. If character collapse has not occurred in the simple binarized image, an image processing determiner selects simple binarization processing as the image processing method of output image data. If character collapse has occurred in the simple binarized image, the process proceeds to photograph area size determination. If the ratio of a photograph area size is less than or equal to a predetermined value, the information loss determiner determines that character collapse has occurred in a posterization processed image. If character collapse has occurred in the posterization processed image, the image processing determiner selects grayscale processing. If character collapse has not occurred in the posterization processed image, the image processing determiner selects posterization processing.

Abstract: An image forming apparatus includes: a scanner to read each of a first output product serving as a model and a second output product output from the image forming apparatus; a memory that stores a color conversion lookup table to be used when color conversion is performed from a RGB color system into a CMYK color system; and circuitry to correct the color conversion lookup table based on a number of pixels and an amount of change per hue, using read information on the first output product, and re-correct the corrected color conversion lookup table, using read information on the second output product.

Abstract: A image of a target is obtained and processed to find changes in the target which represent projectiles hitting the target, and that target is then scored.

Abstract: Systems and methods for a multi-primary color system for display. A multi-primary color system increases the number of primary colors available in a color system and color system equipment. Increasing the number of primary colors reduces metameric errors from viewer to viewer. One embodiment of the multi-primary color system includes Red, Green, Blue, Cyan, Yellow, and Magenta primaries. The systems of the present invention maintain compatibility with existing color systems and equipment and provide systems for backwards compatibility with older color systems.

Abstract: A method and an intersection testing module for performing intersection testing of a ray with a box in a ray tracing system. The ray and the box are defined in a 3D space using a space-coordinate system, and the ray is defined with a ray origin and a ray direction. A ray-coordinate system is used to perform intersection testing, wherein the ray-coordinate system has an origin at the ray origin, and the ray-coordinate system has three basis vectors. A first of the basis vectors is aligned with the ray direction. A second and a third of the basis vectors: (i) are both orthogonal to the first basis vector, (ii) are not parallel with each other, and (iii) have a zero as one component when expressed in the space-coordinate system. A result of performing the intersection testing is outputted for use by the ray tracing system.

Abstract: A method and an intersection testing module for performing intersection testing of a ray with a convex polygon in a ray tracing system. The ray and the convex polygon are defined in a 3D space using a space-coordinate system. The ray is defined with a ray origin and a ray direction. A ray-coordinate system is used to perform intersection testing, wherein the ray-coordinate system has an origin at the ray origin, and wherein the ray-coordinate system has three basis vectors. A first of the basis vectors is aligned with the ray direction. A second and a third of the basis vectors: (i) are both orthogonal to the first basis vector, (ii) are not parallel with each other, and (iii) have a zero as one component when expressed in the space-coordinate system. A result of performing the intersection testing is outputted for use by the ray tracing system.

Abstract: Example color resources are generated. A first luminosity amount of a greyscale color in a greyscale color space is determined. The greyscale color corresponds with a transformation of a source color in a first color space converted to the greyscale color. The source color corresponding with a depletion color in a second color space, and the depletion color has a second luminosity amount. A target color in a color resource is generated via adjusting a black channel amount in the depletion color to match the second luminosity amount with the first luminosity amount. The target color to correspond with the source color in the color resource.

Abstract: An object is to match the texture of a printed material, in addition to the tint, between different printing devices. In order to implement this object, a printed material output by a destination device is scanned and whether a certain area in image data obtained by the scan is an area printed in K color on the printed material or an area printed in CMY color mixture is determined. Then, based on the determination results, a printing parameter is determined.

Abstract: The invention relates to an embedded system for printing on colored background based on automatic generation of white underbase including printing ink separations. The system comprising: an embedded apparatus for receiving input data respecting an image printable on the colored background. The image constitutes a color or a grayscale containing transparency information. The apparatus processes the input data and outputs white underbase information including printing ink separation; a dual-acting device capable of acting in a first aspect as a plate making or film generating means in respect of offline printing, and in a second aspect acting as a print controller in respect of online printing. The system also includes a printing device, which can be an offset printing device, a screen printing device, a hybrid printing device when offline printing being adapted; and/or, an inkjet printer, a laser printer or a toner-based printer when online printing being resorted.

Abstract: An image forming apparatus includes one or more processors and one or more memories storing program instructions, which, when being executed by the one or more processors, causes the one or more processors to generate a print image to be printed on a sheet of paper and a position correcting mark for front and back side registration having a brightness lower than a minimum brightness of the print image; control printing of the print image and the position correcting mark on a first side of the sheet of paper; control reading the print image and the position correcting mark from the first side and control generating of read image data; and detect, from the read image data, the position correcting mark on the first side using a brightness difference.

Abstract: An electronic device is described, that includes a processing logic configured to receive input image data and generate output image data having a different format from the input image data using an artificial neural network model. The artificial neural network model includes a plurality of encoding layer units, including a plurality of layers located at a plurality of levels, respectively. The artificial neural network model also includes a plurality of decoding layer units including a plurality of layers and configured to form skip connections with the plurality of encoding layer units at the same levels. A first encoding layer unit of a first level receives a first input feature map and outputs a first output feature map. A first output feature map is based on the first input feature map, to a subsequent encoding layer unit and a decoding layer unit at the first level.

Abstract: An example of an apparatus including a communication interface to receive an image file is provided. The image file represents a scanned image of a output generated by a printing device. The apparatus further includes an identification engine to process the image file with a convolutional neural network model to identify a feature. The feature may be indicative of a potential failure. The apparatus also includes an image analysis engine to indicate a life expectancy of a part associated with the potential failure based on the feature. The image analysis engine uses the convolutional neural network model to determine life expectancy.

Abstract: An image processing apparatus according to the present invention includes an image forming unit configured to form an image, a measuring unit configured to measure the formed image, a control unit configured to control execution of a single-color calibration to be performed to correct reproduction characteristics of a single-color formed by the image forming unit based on a measuring result of a single-color image formed with a single-color recording agent and execution of a multi-color calibration to be performed to correct reproduction characteristics of a multi-color image formed by the image forming unit based on a measuring result of a multi-color formed with a plurality of recording agents, and a selection unit configured to select whether to cause the control unit to perform the multi-color calibration after completing the single-color calibration or cause the control unit to perform any one of the single-color calibration and the multi-color calibration.