Abstract: An inspection support apparatus includes: an image acquisition unit (11) that acquires an image obtained by photographing a concrete structure that is an inspection target; a damage region extraction unit (12) that extracts from the acquired image, a damage region (water leakage, free lime, etc.) appearing on a surface of the concrete structure; a causal part detection unit (17) that detects, in a case where the damage region is extracted, a causal part (a crack, a construction joint, a joint, a peeling part, etc.) causing damage from the image on the basis of a result of extraction of the damage region; and an output unit (19) that outputs the result of extraction of the damage region and a result of detection of the causal part.

Abstract: A method for removing false contours from a target image includes the following steps: A) receiving the target image having a two-dimensional pixel array arranged in rows and columns; B) performing a false contour detection on a target arrangement of the target image according to a target direction, wherein the target direction is one of the row direction or the column direction of the target image; C) predicting, based on at least a first band width of a first band, a second band width of a second band, in response to the detection of a false contour between the first band and the second band, wherein the first band and the second band are adjacent to each other in the target arrangement; and D) performing pixel interpolation processing on at least a part of pixels in the second band to remove the false contour.

Abstract: An image processing apparatus includes a pre-processor configured to receive, from an image sensor, input image data including a pattern corresponding to a filter array of the image sensor, and generate reconstructed image data by reconstructing the input image data based on phase information corresponding to each of a plurality of pixels of the image sensor, and a neural network processor configured to generate output image data based on the input image data and the reconstructed image data.

Abstract: A system and method include receiving target image data associated with a target coating. A texture feature extraction analysis process is applied to the target image data to determine a target texture image feature. A machine learning model identifies one or more texture features for matching to a target coating.

Abstract: An apparatus includes a print controller configured to perform color conversion on data using a color profile to generate image data for use in printing. The apparatus further includes a controller configured to acquire information regarding characteristic information of at least one illumination apparatus via a network, acquire first characteristic information based on the information regarding the characteristic information of the at least one illumination apparatus, acquire second characteristic information based on a color chart of the apparatus, and generate a color profile based on the first and second characteristic information.

Abstract: An information processing apparatus includes a processor configured to receive document data, use a first design element forming the document data as a search key to search for a second design element in accordance with a condition of use for a design element, and perform processing on the second design element in accordance with the first design element to generate a third design element that has characteristics of the first design element.

Abstract: The disclosure provides a reversible watermarking method for the oblique photography three-dimensional models with controllable accuracy. According to the disclosure: firstly, by using the global stability of the average included angle of vertex normal vector, the feature points of the oblique photography three-dimensional model are extracted; secondly, the mapping relationship is established by the ratio of the distance between feature points and non-feature points, and the vertexes are grouped, and each group consists of a feature point corresponding to several non-feature points; finally, the spherical coordinate system is constructed by taking the feature points as the coordinate origin in grouping, and the watermark is embedded by modifying the radius of the coordinate system.

Abstract: Provided are a white balance abnormality determination method and apparatus, a storage medium, and an electronic device. The method includes: acquiring at least one target block in a first channel image, and acquiring at least one reference block in a second channel image for each target block, where the first channel image is adjacent to the second channel image; determining a color feature representative value of each target block and a color feature representative value of each reference block associated with a position of a respective target block; determining, a color feature difference value between the first channel image and the second channel image; determining whether a white balance abnormality image exists in the first channel image and the second channel image; and in a case where a white balance abnormality image exists in the first channel image and the second channel image, adjusting the white balance abnormality image.

Abstract: A current detection device includes: a first conductor providing a part of a current path between a first inverter and a first rotary electric machine; a second conductor providing a part of a current path between a second inverter and a second rotary electric machine; a third conductor providing a part of a current path between a DC power supply and a converter; and first to third elements respectively arranged to face the first to third conductors. Each of the first to third elements is configured to detect a magnetic flux generated by an electric current flowing through a corresponding conductor in a coreless manner. A maximum value of the electric current in the second conductor is smaller than maximum values of the electric current in the first and third conductors. The second conductor is arranged between the first conductor and the third conductor in a predetermined direction.

Abstract: An electronic device may include an electronic display to display an image based on compensated image data in a panel space. The electronic device may also include image processing circuitry to generate the compensated image data. Further, generating the compensated image data may include determining a first inverse mapping of a pixel grid from the panel space to a rendering space and determining a forward mapping of the pixel grid from the rendering space to the panel space based on the first inverse mapping. The forward mapping may include corrections for multiple different warp operations stacked in a single warp operation. Additionally, the image processing circuitry may apply the forward mapping to input image data to generate the compensated image data.

Abstract: A process state monitoring device incudes a processor including hardware, the processor being configured to: separate two or more components from time series data of a value indicating a state of a process; compute a characteristic value from each of the separated components; and classify the state of the process on the basis of the computed characteristic values.

Abstract: An image processing method includes: obtaining a first image photographed by each of N1 first cameras in the M1 first cameras and a second image photographed by each of N2 second cameras in the M2 second cameras; obtaining luminance values of at least a part of pixels in the first image and luminance values of at least a part of pixels in the second image for each first image and each second image; and increasing luminance of a target image based on obtained luminance values, and using, as a photographed image of the under-display camera assembly, a target image obtained after the luminance is increased. M1, N1, M2, and N2 are all integers greater than or equal to 1.

Abstract: An electronic device may include an electronic display to display an image based on processed image data. The electronic device may also include image processing circuitry to generate the processed image data. The image processing circuitry may receive input image data corresponding to an image in a first perspective and warp the input image data from the first perspective to a second perspective, generating warped image data. Additionally, the image processing circuitry may determine one or more occluded regions in the second perspective and determine fill-data corresponding to the occluded regions. The processed image data may be generated by combining the warped image data and the fill-data.

Abstract: Disclosed is a color transform method performed by an electronic device that includes generating an initial color transformed image by performing color transform on a raw image, determine noise amplification degrees indicating degrees to which noise included in the raw image is amplified by the color transform, processing the determined noise amplification degrees, and generating a final color transformed image by filtering the generated initial color transformed image using the processed noise amplification degrees and at least one of the raw image or luminance information of the raw image.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for synchronized dual eye variable refresh rate update for a VR display. A display processor obtains an indication of a synchronous flush or an asynchronous flush with respect to a first DPU and/or a second DPU. The display processor determines whether a first flush operation and/or a second flush operation is available at a time instance, where the first flush operation and the second flush operation are associated with the first DPU and/or the second DPU. The display processor performs, based on a VSync instance, the first flush operation and/or the second flush operation based on whether the first flush operation and/or the second flush operation are available at the time instance and based on the indication of the synchronous flush or the asynchronous flush.

Abstract: A device for image capture comprises a memory and one or more processors coupled to the memory and configured to: receive, during a preview mode or a recording, a first image, generate a first saliency map indicative of relative saliency of different regions within the first image, wherein the relative saliency of the different regions is indicative of a likelihood of attracting viewer gaze, generate one or more additional images based on manipulating pixels in the first image, generate one or more additional saliency maps indicative of relative saliency of different regions within the one or more additional images, and determine, during the preview mode or the recording, a camera setting based on the first saliency map and the one or more additional saliency maps.

Abstract: A system and method include receiving target image data associated with a target coating. A feature extraction analysis process is applied to the target image data to determine a target image feature. The feature extraction analysis process includes dividing the target image into sub-images which contains a plurality of target pixels. A machine learning model identifies one or more types of flakes present in the target coating using target pixel features.

Abstract: A method for anonymizing a digital colour image comprising obtaining the digital colour image, and applying a linear random function to a respective colour vector representing colour components of a respective pixel of the digital colour image to obtain a monochrome image. The linear random function varies over the pixels of the digital colour image, and is further dependent on at least one random parameter.

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 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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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.