Abstract: In a display controller, a standard information acquisition unit acquires at least one of a luminance characteristic and a color gamut of a standard display panel. A luminance information storage unit of an output adjustment unit stores a measurement value of a luminance characteristic of a panel of a displaying destination. A luminance range adjustment unit gradually adjusts a luminance range for an image to be a luminance range same as that of the standard display panel. A color gamut information storage unit stores a measurement value of a color gamut of the panel of the displaying destination. A color adjustment unit adjusts a pixel value of an image on the basis of the color gamut such that the image is displayed in a color same as that on the standard display panel.

Abstract: An image processing method for an image processing device according to an embodiment of the present invention comprises the steps of: obtaining a first RGB image by means of an RGB camera; extracting a reflection component from the first RGB image; obtaining a TOF IR image by means of a TOF camera; and obtaining a second RGB image by calculating the reflection component of the first RGB image and the TOF IR image, wherein the TOF IR image is an amplitude or intensity image generated from an IR image with respect to four phases.

Abstract: The present invention relates to a color control system for controlling, in real time, the color of an article positioned on a moving carrier. The system comprises: an illuminating device configured to illuminate the moving article in successive illuminating cycles, each illuminating cycle comprising successively generating, at a given rate, a given number of lines of light having distinct spectral bands the lines of light being substantially perpendicular to the direction of movement; a detecting device configured to detect the light back scattered by the article successively illuminated by each of the lines of light, such as to generate for each dot of a given number of dots of an observation strip perpendicular to the direction of movement, a number of signals corresponding to the light back scattered by the dot; and a processing unit configured to determine at least one value representative of the color of the dot.

Abstract: An image processing method includes: extracting, based on pixel values of a plurality of pixels of an image obtained, a plurality of first current pixels having pixel values included in a first color range including a specific color range that defines a specific color, from the plurality of pixels; excluding, in second region different from a first region including a center region of the image, (i) a low saturation pixel from the plurality of first current pixels when the number of low saturation pixels is greater than or equal to a first threshold value, and (ii) a high saturation pixel, which has a pixel value included in a high saturation range, from the plurality of first current pixels when the number of high saturation pixels is greater than or equal to a second threshold value; and outputting a plurality of second current pixels obtained as a result of the excluding.

Abstract: One variation of a method for customizing motion characteristics of an autonomous vehicle for a user includes: accessing a baseline emotional state of the user following entry of the user into the autonomous vehicle at a first time proximal a start of a trip; during a first segment of the trip, autonomously navigating toward a destination location according to a first motion planning parameter, accessing a second emotional state of the user at a second time, detecting degradation of sentiment of the user based on differences between the baseline and second emotional states; and correlating degradation of sentiment of the user with a navigational characteristic of the autonomous vehicle; modifying the first motion planning parameter of the autonomous vehicle to deviate from the navigational characteristic; and, during a second segment of the trip, autonomously navigating toward the destination location according to the revised motion planning parameter.

Abstract: The present disclosure provides a method, device and equipment for identifying and detecting a macular region in a fundus image. The method includes the following steps: reading a current fundus image to be positioned and detected; detecting a macular region in the fundus image using a target detection model; when the macular region in the fundus image is not detected, detecting an optic disk region in the fundus image, and identifying and positioning the macular region based on the detected optic disk region; based on a positioning result of the macular region, extracting a macular image corresponding to the macular region from the fundus image; and performing multi-modal processing on the macular image, fusing images obtained by the multi-modal processing to obtain a fused image, and detecting whether the macular region is qualified or not according to the fused image.

Abstract: A computer implemented method and system for generating a visualization of a stained wood substrate are provided. The method includes receiving an image of the wood substrate to be stained; subdividing the image i-14 into a plurality of sub-images, each sub-image corresponding to the portion of the image having a color falling in a respective one of color bands; for each sub-image, retrieving a reflectance curve representative for the wood substrate for the color corresponding to the sub-image; retrieving absorption and scattering values for the stain; for each sub-image, determining the reflectance curve representative for the stained wood based on the absorption and scattering values for the stain and the reflectance curve for the wood substrate for that sub-image; and for each pixel of each sub-image, determining a color based on the reflectance curve representative for the stained wood, resulting in a generated image of the substrate after applying the stain.

Abstract: A method for training an image colorization model may include inputting a training input image into a colorization model and receive a predicted color map as an output of the colorization model. A first color distance may be calculated between a first pixel of the predicted color map and a second pixel of the predicted color map. A second color distance may be calculated between a third pixel included in a ground truth color map and a fourth pixel included in the ground truth colorization map. The third pixel and fourth pixel included in the ground truth color map may spatially correspond, respectively, with the first pixel and second pixel included in the predicted color map. The method may include adjusting parameters associated with the colorization model based on a neighborhood color loss function that evaluates a difference between the first color distance and the second color distance.

Abstract: A method for video coding, executable by a processor, includes receiving video data, determining a directionality of a sample block of the received video data, the directionality corresponding to a descriptor, applying a geometric transformation in which filter coefficients of a cross-component filter or reconstructed samples in a filter support region are rotated by a first amount based on the directionality being a first direction and rotated by a second amount based on the directionality being a second direction different from the first direction, and decoding the video data based on the applied geometric transformation.

Abstract: A transmission method in the present disclosure includes; obtaining an image and image signal characteristics information indicating one of an opto-electrical transfer function (OETF) or an electro-optical transfer function (EOTF) as image signal characteristics of the image; and transmitting a signal including the image and the image signal characteristics information. According to the transmission method in the present disclosure, a receiving device that received a high dynamic range (HDR) image and a standard dynamic range (SDR) image transmitted through broadcasting or the like can display these images appropriately.

Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.

Abstract: A process of constructing a micromodel for a multiple porosity system includes: drilling a well; coring the well for acquiring core plugs from the well; producing thin section images of the core plugs for acquiring a first feature of the core plugs; and transforming the thin section images to binary images.

Abstract: Techniques that facilitate graph similarity analytics are provided. In one example, a system includes an information component and a similarity component. The information component generates a first information index indicative of a first entropy measure for a first graph-structured dataset associated with a machine learning system. The information component also generates a second information index indicative of a second entropy measure for a second graph-structured dataset associated with the machine learning system. The similarity component determines similarity between the first graph-structured dataset and the second graph-structured dataset based on a graph similarity computation associated with the first information index and the second information index.

Abstract: A printing system includes: a scanner configured to scan a document to generate a document image; a determination section configured to automatically determine a first color in accordance with a situation; a specification section configured to cause a user to specify a color with recommendation of the first color; and a print section configured to perform two-color copying on a medium by using a color specified by the specification section.

Abstract: Embodiments of the present invention relate to a dual-light image integration method, a dual-light image integration device and an unmanned aerial vehicle (UAV). The method includes: receiving first image data from a first image device and second image data from a second image device; separately storing the first image data and the second image data; combining the first image data and the second image data to composite third image data; and transmitting the third image data. According to the present invention, dual-light images are processed by using different data processing methods depending on subsequent operations, which can maintain synchronization of the dual-light images during image transmission while avoiding information loss during image storage, thereby well satisfying user needs.

Abstract: There is provided a barcode detection device including an image sensor and a processor. The image sensor captures an image frame of a color barcode. The processor sequentially processes every row of the image frame to find at least one color segment in each row of the image frame, categorizes color segments of a same color in one cluster according to a position relationship and a color similarity of the color segments in the image frame, and recognize a color of the pixels in one cluster according to color parameters of pixels in said one cluster.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating a modified digital image by identifying patch matches within a digital image utilizing a Gaussian mixture model. For example, the systems described herein can identify sample patches and corresponding matching portions within a digital image. The systems can also identify transformations between the sample patches and the corresponding matching portions. Based on the transformations, the systems can generate a Gaussian mixture model, and the systems can modify a digital image by replacing a target region with target matching portions identified in accordance with the Gaussian mixture model.

Abstract: A search system searches a storage where one electronic document or a plurality of electronic documents is/are stored for an electronic document that satisfies an entered search condition. The search system includes a first processor and a second processor. The first processor manages a feature relating to a color shade of the electronic document as an index of the electronic document and retrieves the electronic document that satisfies the search condition from the storage based on the index. The second processor reads an image of a document, converts a first image into a second image in accordance with designated setting including setting about the color shade, and has the second image stored in the storage as the electronic document. Managing a feature relating to a color shade of the electronic document includes registering the index based on first information on the first image and second information on the second image.

Abstract: A system for image quality assessment of non-aligned images includes a first deep path portion of a convolutional neural network having a set of parameters and a second deep path portion of the convolutional neural network sharing a set of parameters with the first deep path convolutional neural network. Weights are shared between the first and second deep path convolutional neural networks to support extraction of a same set of features in each neural network pathway. Non-aligned reference and distorted images are respectively provided to the first and second deep paths of the convolutional neural network for processing. A concatenation layer is connected to both the first and second deep paths convolutional neural network, and a fully connected layer is connected to the concatenation layer to receive input from both the first and second deep paths of the convolutional neural network, generating an image quality assessment as a linear regressor and outputting an image quality score.

Abstract: Methods and systems for determining a surface color of a target surface under an environment with an environmental light source. A plurality of images of the target surface are captured as the target surface is illuminated with a variable intensity, constant color light source and a constant intensity, constant color environmental light source, wherein the intensity of the light source on the target surface is varied by a known amount between the capturing of the images. A color feature tensor, independent of the environmental light source, is extracted from the image data, and used to infer a surface color of the target surface.

Abstract: Apparatus for binning an input value into one of a plurality of bins which collectively represent a histogram of input values, each of the plurality of bins representing a corresponding range of input values, the apparatus comprising: an input for receiving an input value; a noise source configured to generate an error value according to a predetermined noise distribution; and a binning controller configured to mix the received input value with the error value so as to generate a modified input value and to allocate the modified input value to the bin corresponding to that modified input value.

Abstract: A banding detection application generates a first set of pixel confidence values based on a first intensity difference value and first image scale associated with a first image, wherein each pixel confidence value included in the first set of pixel confidence values indicates a likelihood that a corresponding pixel included in the first image at the first image scale corresponds to banding in the first image. The banding detection application then generates a banding index corresponding to the first image based on the first set of pixel confidence values.

Abstract: A method of making a portion of a microfluidic channel includes lithographically patterning a first pattern into a first layer of photoresist disposed on a substrate, the first pattern representative of morphology of a reservoir rock; etching the first pattern into the substrate to form a patterned substrate; disposing a second layer of photoresist onto the patterned substrate; lithographically patterning a second pattern into the second layer of photoresist to reveal portions of the patterned substrate; and depositing calcite onto the exposed portions of the patterned substrate.

Abstract: The present disclosure relates to methods and devices for video or frame processing including an apparatus, e.g., a video or frame processor. In some aspects, the apparatus may receive a video stream including a plurality of frames, each of the plurality of frames including luminance information. The apparatus may also perform a histogram analysis on the luminance information for each of the plurality of frames. Additionally, the apparatus may determine whether a difference between the luminance information for each of the plurality of frames and a current luminance distribution is greater than a perceptual threshold. The apparatus may also calculate an updated tone mapping configuration based on the luminance information for a frame when the difference between the luminance information for the frame and the current luminance distribution is greater than the perceptual threshold.

Abstract: An embodiment of the present disclosure provides a method for processing an image. The method comprise: determining weights corresponding to candidate colors for a target color based on an original color of a pixel in the image; selecting a target color of the pixel from the candidate colors based on the weights; and converting the original color of the pixel into the target color to obtain a target image. According to the embodiment of the present disclosure, by determining the weights of the candidate colors, the image can be converted into the target image comprising only the candidate colors, thereby using a limited number of candidate colors to represent the target image.

Abstract: Techniques related to automatically segmenting a video frame into fine grain object of interest and background regions using a ground truth segmentation of an object in a previous frame are discussed. Such techniques apply multiple levels of segmentation tracking and prediction based on color, shape, and motion of the segmentation to determine per-pixel object probabilities, and solve an energy summation model to generate a final segmentation for the video frame using the object probabilities.

Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.

Abstract: In an example, a method includes, by one or more processors, acquiring a dot pattern having a distribution of dots. A greyscale image comprising a plurality of pixels each associated with a greyscale value may be derived from the dot pattern. Deriving the greyscale image may comprise, for each pixel, determining the closest dot to the pixel and associating a distance of the closest dot from the pixel with the pixel, and assigning a greyscale value to each pixel, wherein the greyscale value is based on the distance associated with that pixel.

Abstract: The invention aims at reading, by a reading device, a 2D graphic code comprising zones including data zones encoding information based on real colours in a colour base and calibration zones presenting a predefined reference colour, the method comprising: optical acquisition of the 2D graphic code in current acquisition conditions to obtain image data, measuring of the observable colour in the calibration zones, spatial interpolation based on the observable colours in the calibration zones to estimate the theoretically observable colour for each base colour in the 2D graphic code, and classification based on the spatial interpolation for determining the real colour of analyzed data zones.

Abstract: Provided is an operation method of an image signal processor (ISP) configured to perform signal processing on a raw image received from an image device, the operation method including generating a plurality of multi-scale images based on an input image, the plurality of multi-scale images having resolutions that are different from each other, iteratively performing a fast global weighted least squares (FGWLS) based operation on each of the plurality of multi-scale images to generate a final illuminance map, and outputting an enhanced image based on the final illuminance map and the input image.

Abstract: A system comprises one or more processors and one or more storage devices. The system is configured to receive first image data of a first image of an object from a first image sensor and receive second image data of a fluorescence image of the object from a second image sensor. Further, the system is configured to process the first image data and the second image data and generate combined image data of an output image of the object in a linear color space based on the processed first image data and the processed second image data. Additionally, the system is configured to convert the combined image data to a non-linear color space representation of the output image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize context-aware sensors and multi-dimensional gesture inputs across a digital image to generate enhanced digital images. In particular, the disclosed systems can provide a dynamic sensor over a digital image within a digital enhancement user interface (e.g., a user interface without visual elements for modifying parameter values). In response to selection of a sensor location, the disclosed systems can determine one or more digital image features at the sensor location. Based on these features, the disclosed systems can select and map parameters to movement directions. Moreover, the disclosed systems can identify a user input gesture comprising movements in one or more directions across the digital image. Based on the movements and the one or more features at the sensor location, the disclosed systems can modify parameter values and generate an enhanced digital image.

Abstract: An apparatus and related methods for enhancing low dynamic range and high dynamic range digital images. The process converts single digital images into a form that can be shown on traditional electronic and computer displays and paper prints through luminance mapping and tone mapping functions. These functions require the calculation of values for each pixel within the digital image. The values calculated include, but are not limited to, color, grey-level, and luminance. The present apparatus and method builds upon the tone mapping process by combining log-average luminance values of various sized neighborhood tiles with the global log-average luminance of the entire image.

Abstract: Methods, systems, and devices for generating a persistent world-space ground (or floor) segmentation map (or “texture”) for use in augmented or virtual reality 3D experiences.

Abstract: An information processing apparatus (10) for evaluating the chromatic discriminability of content includes: a unit (S12) that converts the color space values of each of first and second verification points A and B on the content into Lab color space values; a unit (S13) that calculates the color difference and the lightness difference between the first and second verification points based on the Lab color space values; and a unit (S23, S24) that determines color-difference discriminability by comparing the color difference between the first and second verification points with a color-difference threshold, and determines lightness-difference discriminability by comparing the lightness difference between the first and second verification points with a lightness-difference threshold.

Abstract: Methods, apparatus and articles of manufacture (e.g., computer readable media) to detect watermark modifications are disclosed. Example apparatus disclosed herein include means for encoding a first watermark in a first media signal obtained from an output of a media device to obtain a second media signal encoded with the first watermark and a second watermark, the second watermark already encoded in the first media signal obtained from the output of the media device. Disclosed example apparatus also include means for decoding the first watermark and the second watermark from the second media signal to determine a first metric corresponding to the first watermark and a second metric corresponding to the second watermark. Disclosed example apparatus further include means for outputting, based on the first metric and the second metric, an indication of whether the second watermark has been modified.

Abstract: A depth estimation system is described capable of determining depth information using two images from two cameras. A first camera captures a first image and a second camera captures a second image, both images including a plurality of light channels. A scan direction is selected from a plurality of scan directions. For the selected scan direction, along each of a plurality of scanlines, the system compares pixels from the first image to pixels from the second image. The comparison is based on calculating a census transform for each pixel in the first image and a census transform for each pixel in the second image. This comparison is used to determine a stereo correspondence between the pixels in the first image and the pixels in the second image. The system generates a depth map based on the stereo correspondence.

Abstract: The present application discloses a color image processing method, a color image processing device, an electronic ink screen, and a storage medium. The color image processing method includes: obtaining an original image, and transforming original color data of a pixel in the original image into corresponding set color data in a set color space; determining a target color corresponding to the pixel in a plurality of set colors according to the set color data corresponding to the pixel and a color ratio allocation table; and generating a target image according to the target color.

Abstract: Apparatuses and methods for approximating a 5-angle color difference model are provided, where the 5-angle color difference model utilizes a 5-angle equation. In an exemplary embodiment, an apparatus includes a storage device for storing instructions and one or more processors configured to execute the instructions. The processor(s) are configured to receive 3-angle standard and test color measurements, and enter the 3-angle standard measurement into a neural network empirical model. The neural network empirical model includes a plurality of input nodes, a plurality of hidden nodes connected to the input nodes, and a plurality of output nodes connected to the hidden nodes. The neural network empirical model is configured to output 3-angle tolerance values, and to calculate a 3-angle color difference value using the 5-angle equation for at least one of the 3 color measurement angles using the 3-angle standard and test color measurements and the 3-angle tolerance values.

Abstract: An apparatus configured for head-worn by a user, includes: a screen configured to present graphics for the user; a camera system configured to view an environment in which the user is located; and a processing unit coupled to the camera system, the processing unit configured to: obtain a first image with a first resolution, the first image having a first corner, determine a second image with a second resolution, the second image having a second corner that corresponds with the first corner in the first image, wherein the second image is based on the first image, the second resolution being less than the first resolution, detect the second corner in the second image, determine a position of the second corner in the second image, and determine a position of the first corner in the first image based at least in part on the determined position of the second corner in the second image.

Abstract: Methods, devices, and computer-readable media for generating color-neutral representations of driving objects are disclosed. In one embodiment, a method is disclosed comprising capturing an image, the image including an object of interest; identifying the object of interest in the image based on identifying one or more colors in the image; associating the object of interest with a known traffic object; identifying a color-neutral representation of the known traffic object; and displaying the color-neutral representation to a user.

Abstract: A user interface to a virtual camera for a 3-D rendering application provides various features. A rendering engine can continuously refine the image being displayed through the virtual camera, and the user interface can contain an element for indicating capture of the image as currently displayed, which causes saving of the currently displayed image. Autofocus (AF) and autoexposure (AE) reticles can allow selection of objects in a 3-D scene, from which an image will be rendered, for each of AE and AF. A focal distance can be determined by identifying a 3-D object visible at a pixel overlapped by the AF reticle, and a current viewpoint. The AF reticle can be hidden in response to a depth of field selector being set to infinite depth of field. The AF and AE reticles can be linked and unlinked, allowing different 3-D objects for each of AF and AE.

Abstract: A method of rendering an image of three-dimensional laser scan data is described. The method includes providing a range cube map and a corresponding image cube map generating a tessellation pattern using the range cube map and rendering an image based on the tessellation pattern by sampling the image cube map.

Abstract: An image processing apparatus includes: an input device to which a pre-color conversion image and a post-color conversion image are input; and a processor. The processor is configured to execute a program to extract color data in a certain region of at least one of the pre-color conversion image and the post-color conversion image, change at least one of a position and a range of the certain region in a case where the extracted color data meet a certain condition, and prepare a color conversion model using color data in the certain region after being changed.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can render a virtual object in a digital image by using a source-specific-lighting-estimation-neural network to generate three-dimensional (“3D”) lighting parameters specific to a light source illuminating the digital image. To generate such source-specific-lighting parameters, for instance, the disclosed systems utilize a compact source-specific-lighting-estimation-neural network comprising both common network layers and network layers specific to different lighting parameters. In some embodiments, the disclosed systems further train such a source-specific-lighting-estimation-neural network to accurately estimate spatially varying lighting in a digital image based on comparisons of predicted environment maps from a differentiable-projection layer with ground-truth-environment maps.

Abstract: An automatic image annotation system receives a reference image with one or more parts annotated along with one or more query images and automatically identifies portions from the query images that are similar to the annotated parts of the reference image. The S-matrices of the reference image and the query images are obtained via singular value decomposition (SVD). Lower-dimensional images are also obtained for the reference image and the query images using a pre-trained deep learning model. The S-matrices and the lower-dimensional images of the corresponding images are combined to generate vector representations. A distance metric is calculated for the vector representation of the reference image with that of the query image. A preliminary output image with a preliminary annotation is initially generated. The preliminary annotation is further optimized to generate an optimized annotation that adequately covers the region of interest (ROI).

Abstract: Disclosed is a system for analyzing a display device, the system including: an image photographing device configured to photograph an image for inspection output from a display device to be inspected and obtain an RGB value for inspection from the photographed image; and an inspection control unit configured to convert the RGB value for inspection into a CIE XYZ value by using a previously prepared color conversion function, and determine defect of the display device to be inspected by using the converted CIE XYZ value.

Abstract: A method for preparing a select graphic for printing using a digital printing device includes receiving the select graphic, at least one position for printing the select graphic, and a select spot color name for the select graphic, wherein the select spot color name represents a tone printable using at least one colorant of the digital printing device; generating a select spot color separation for the select graphic using a halftone screen to produce the tone represented by the security spot name, wherein the halftone screen is selected for printing the select graphic without a discernible dot pattern upon unmagnified viewing; and preparing raster data incorporating the select spot color separation for printing the select graphic at the at least one position on the item.

Abstract: The present invention discloses a space allocation system and a method for allocating space to objects with multi-variate characteristics. In the present invention, intra-container allocation and/or inter-container allocation is performed to generate a combination in which the objects can be placed in one or more pre-defined storage spaces in a plurality of storage containers. The generated combination is further optimized for efficient space allocation to objects with multi-variate characteristics.

Abstract: Performing realtime image analysis and providing realtime feedback are disclosed. A stream comprising a plurality of arriving RAW images is received. A RAW image included in the stream is sent to a graphics processing unit (GPU). A result of the GPU is used to generate a visualization corresponding to the RAW image. The visualization is co-presented with a realtime view of a scene in a display.