Abstract: A high-dynamic-range (HDR) camera module with adaptive image data linearization includes (i) an HDR image sensor configured to generate tone-compressed HDR images as respective frames that include active pixel data and metadata, (ii) a processor outside the HDR image sensor, and (iii) a memory outside the HDR image sensor and storing machine-readable instructions that, when executed by the processor, control the processor to: (a) extract, from a frame of a first tone-compressed HDR image, tone-compressed pixel intensities from the active pixel data and a histogram of pre-tone-compression pixel intensities from the metadata, (b) derive, from the tone-compressed pixel intensities and the histogram, a correspondence between tone-compressed pixel intensities and pre-tone-compression pixel intensities, and (c) linearize at least a portion of the active pixel data of either the first tone-compressed HDR image or a subsequent tone-compressed HDR image, according to the correspondence, to produce a linearized HDR ima

Abstract: A colorimeter includes: a colorimetric section that performs colorimetry; a first wireless communicating section that performs first wireless communication according to a first wireless communication standard; a second wireless communicating section that performs second wireless communication according to a second wireless communication standard; and a processor that controls the first wireless communicating section and the second wireless communicating section. The processor transmits colorimetric data acquired by the colorimetry in the first colorimetric mode by the first wireless communication when colorimetry in a first colorimetric mode is performed. The processor also transmits colorimetric data acquired by the colorimetry in the second colorimetric mode by the second wireless communication when colorimetry in a second colorimetric mode is performed.

Abstract: An image processing system according to the present disclosure includes: an image acquisition unit configured to acquire a monochrome image of a subject including a target part; a hint acquisition unit configured to acquire a category of the target part and a first color hint indicating a color of the target part; a hint conversion unit configured to convert the first color hint into a second color hint indicating the color of the target part based on the acquired category; and a colorization generation unit configured to generate a colorized image corresponding to the monochrome image from the monochrome image and the second color hint of the target part by using a prediction model trained by machine learning.

Abstract: A method for encoding a LUT defined as a lattice of vertices is disclosed. At least one value is of each vertex of the lattice. The method comprises for a current vertex: predicting the at least one value of said current vertex from another value which is for example obtained from reconstructed values of neighboring vertices; and encoding in a bitstream at least one residue computed between the at least one value of the current vertex and its prediction in a bitstream.

Abstract: A method implemented by a video coding apparatus. The method includes applying an output of a neural network (NN) filter to an unfiltered sample of a video unit to generate a residual, applying a scaling function to the residual to generate a scaled residual, adding another unfiltered sample to the scaled residual to generate a filtered sample, and converting between a video media file and a bitstream based on the filtered sample that was generated. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.

Abstract: A method for increasing a dynamic range of a dual-pixel image sensor is described. The method includes detecting an intensity level of a full pixel from a plurality of pixels of an optical sensor, one or more full pixels of the plurality of pixels includes at least two sub-pixels, detecting an intensity level of one or more sub-pixels, detecting that the intensity level of the full pixel of the optical sensor has reached a saturation level of the full pixel, and in response to detecting that the intensity level of the full pixel of the optical sensor has reached the saturation level of the full pixel, computing an extrapolated intensity level of the full pixel based on the intensity level of the one or more sub-pixels.

Abstract: Provided is a solid-state imaging apparatus and an electronic device, in which a scale of circuits, to perform arithmetic operation of the neural network, is suppressed. A solid-state imaging apparatus according to an aspect of the present disclosure includes a pixel array unit and a processing unit. The pixel array unit has a plurality of first pixels that generate electric signals, which have a logarithmic characteristic with respect to light quantity, as first pixel signals. The processing unit performs arithmetic processing of the first neural network based on a plurality of first input data, which are based on the plurality of first pixel signals read from the pixel array unit, and a plurality of logarithmic weighting factors which express strength of the connection between the plurality of first nodes by a logarithm.

Abstract: The invention discloses a method to combine low-dynamic range images with different exposures to construct a high-dynamic range image. The method deals with the motions such that to minimize the chance of such “non-recoverable” occlusions and avoids the necessity of knowing or finding the response functions of the low-dynamic range images. Apart from that, the method is fast enough to be used in a mobile camera device and produce good user experience.

Abstract: An image processing method, a device and a non-transitory computer-readable storage medium thereof are provided. The method includes that a first image of a target object, a second image of the target object, and a third image of the target object are acquired. Exposure of the first image is less than exposure of the second image. The exposure of the second image is less than exposure of the third image. Further, brightness of the first image is increased to acquire a fourth image. Moreover, ghost elimination is performed on the second image and the fourth image is taken as a first reference frame to acquire a second reference frame. Furthermore, ghost elimination is performed on the third image based on the second reference frame to acquire a fifth image.

Abstract: Systems and methods dynamically adjust an available range for editing an attribute in an image. An image editing system computes a metric for an attribute in an input image as a function of a latent space representation of the input image and a filtering vector for editing the input image. The image editing system compares the metric to a threshold. If the metric exceeds the threshold, then the image editing system selects a first range for editing the attribute in the input image. If the metric does not exceed the threshold, a second range is selected. The image editing system causes display of a user interface for editing the input image comprising an interface element for editing the attribute within the selected range.

Abstract: A computer-implemented method for interpolation comprises the following steps carried out by computer hardware components: determining an image-like input data structure, the image-like input data structure comprising a plurality of data points; determining a plurality of reference data points as a subset of the plurality of data points of the image-like input data structure; determining an image-like temporary data structure based on the image-like input data structure and a pre-determined processing operation; replacing data points of the image-like temporary data structure corresponding to the plurality of reference data points by the plurality of reference data points to obtain an image-like updated temporary data structure; and determining an image-like output data structure based on the image-like updated temporary data structure.

Abstract: An image processing device, including a first corrector configured to generate a first corrected image obtained by correcting a local intensity of an input image based on a complexity of an intensity distribution of the input image and an intensity value of an area around a pixel; and a second corrector configured to generate a second corrected image obtained by correcting a global intensity of the first corrected image based on a histogram of the input image.

Abstract: An approach for enhancing a video stream. The approach processes a video stream and identifies frames comprising text. The approach marks text extraction locations and extracts the text from the frames. The approach determines if a mirroring effect should be applied to the text and applies if applicable, creating enhanced text. The approach inserts the enhanced text and smooths the edges of the inserted enhanced text. The approach merges the frames with the enhanced text into the video stream, creating an enhanced video stream and sends the enhanced video stream to requesting users.

Abstract: A display device includes a display panel, a controller, and a data driver. The display panel includes a plurality of pixels. The controller is configured to: receive input image data for the display panel; divide the display panel into a plurality of first pixel blocks each having a first size; divide the display panel into a plurality of second pixel blocks each having a second size different from the first size; generate, based on the input image data, a first stress map for the plurality of first pixel blocks and a second stress map for the plurality of second pixel blocks; and generate output image data by compensating the input image data based on the first stress map and the second stress map. The data driver is configured to provide data voltages to the plurality of pixels based on the output image data.

Abstract: A method of performing air pollution estimation is provided. The method is to be implemented using a processor of a computer device and includes: generating a spectral image based on an original color image of an environment under test using a spectral transformation matrix; supplying the spectral image as an input into an estimating model for air pollution estimation; and obtaining an estimation result from the estimating model indicating a degree of air pollution of the environment under test.

Abstract: A distorted image generating section directly renders an image having a distortion such that a proper image can be seen when viewed through an eyepiece lens. Specifically, the distorted image generating section calculates which position a target pixel on a view screen will be displaced to by the lens, generates a ray of light that passes from a viewpoint through a pixel at a displacement destination, and uses color information obtained by ray tracing as a pixel value of the target pixel.

Abstract: The present application discloses a display driving method and device, and a display device, by obtaining Gaussian probability of a preset scene in a to-be-displayed image with respect to a preset color, comparing the Gaussian probability with a predetermined threshold, and setting the polarities of sub-pixels, the driving method of the present application reduces the risk of crosstalk caused by the fact that the voltage drops of the coupling capacitance on the adjacent data lines cannot be canceled each other out.

Abstract: An image processing device including a storage unit configured to store an object detection neural network trained using a first K-channel image generated from a first M-channel image and a first N-channel image generated from the first M-channel image, a reception unit configured to receive, from a sensor, a second M-channel image and a second N-channel image that include an identical subject, and an image analysis unit configured to generate, using the object detection neural network trained using the first K-channel image, object detection result information with respect to a second K-channel image generated from the second M-channel image and the second N-channel image, and output the object detection result information.

Abstract: An imaging system that has an image processing function and is capable of generating an interpolation image is provided. The imaging system has an additional function such as image processing and can generate an interpolation image by using image data output from an imaging device. The imaging device can perform filter processing in parallel during a light exposure period, and thus can perform a large amount of arithmetic operation and generate a high-quality interpolation image. The number of arithmetic operations can be further increased particularly during image capturing in a dark place, which requires a long exposure time. Accordingly, the frame rate can be substantially increased, and high-quality moving image data can be generated.

Abstract: Innovations in adaptive encoding and decoding for units of a video sequence can improve coding efficiency when switching between color spaces during encoding and decoding. For example, some of the innovations relate to adjustment of quantization or scaling when an encoder switches color spaces between units within a video sequence during encoding. Other innovations relate to adjustment of inverse quantization or scaling when a decoder switches color spaces between units within a video sequence during decoding.

Abstract: Example methods, systems, and apparatuses for verifying a printed indicium are provided. An example method may include receiving a captured image of a print media comprising the printed indicium; extracting a quiet zone grade portion from the captured image, where the quiet zone grade portion includes a printed indicium area of the printed indicium and at least one quiet zone area adjacent to the printed indicium area; in response to receiving a user input providing an overwrite quiet zone requirement indication and determining that the at least one quiet zone area does not satisfy at least one quiet zone requirement, causing at least one of adjusting the at least one quiet zone requirement to at least one reduced quiet zone requirement or adding at least one additional quiet zone area to the at least one quiet zone area.

Abstract: A display device including: a display panel including a plurality of pixels; a display panel driver configured to drive the display panel; a memory device configured to store a reference current-temperature model that is set for the display panel, a global offset of the display panel, which is calculated based on the reference current-temperature model in a manufacturing stage of the display panel, and a local offset of the display panel, which is calculated based on a characteristic difference between the pixels in the manufacturing stage; and a panel temperature determiner configured to measure sensing currents flowing through the pixels when a temperature sensing voltage is applied to the pixels, calculate correction sensing currents by applying the global offset and the local offset to the sensing currents, and determine temperatures of the pixels by substituting the correction sensing currents into the reference current-temperature model.

Abstract: Various embodiments relate to a color palette for capturing a person's image for determination of a facial skin color, and a method and an apparatus using same. Various embodiments may provide a color palette, and a method and an apparatus using same, the color palette comprising: a central area which is provided to define a skin region in a facial image, and is empty or transparent; and a plurality of color areas which are provided to define a plurality of reference regions for use in determining a skin color of the skin region in the facial image, and arranged to surround the central area and disposed according to a rule determined on the basis of at least one color characteristic.

Abstract: An image processing method and apparatus, a device, and a storage medium are provided. Said method comprises: performing face recognition on a target image, in response to a processing trigger operation for the target image; determining a first portrait area corresponding to a first face in the target image, wherein the first portrait area comprises a portrait corresponding to the first face; sending the first portrait area to a first target user corresponding to the first portrait area; and receiving a first edited portrait area returned after the first target user performing online editing on the first portrait area, and synthesizing the first edited portrait area into the target image.

Abstract: An encoder includes: a correction unit configured to execute gradation correction on RAW image data from an image capture element having optical black on the basis of a gamma coefficient and an optical black value of the optical black; and an encoding unit configured to encode gradation correction RAW image data that has undergone gradation correction by the correction unit.

Abstract: This image pickup system includes an image pickup unit that captures a subject to obtain a pixel signal, and a processing circuit that generates a first video signal having a first dynamic range from the pixel signal generated by the image pickup unit, and generates a second video signal having a second dynamic range correlated with the first dynamic range.

Abstract: A device includes an electronic processor configured to define a first set of sample pixels from a set of sample pixels determined from received video data according to a first electro-optical transfer function (EOTF) in a first color representation of a first color space; convert the first set of sample pixels to a second EOTF via a mapping function, producing a second set of sample pixels according to the second EOTF; convert the first and second set of sample pixels from the first color representation to a second color representation of the first color space; determine a backward reshaping function by repeatedly applying and adjusting a sample backward reshaping function so as to minimize a difference between predicted pixel values obtained by applying the sample backward reshaping function to the pixels of the converted first set and the pixels of the converted second set.

Abstract: A make-up assistance method includes: acquiring a facial image of a user; acquiring a makeup effect image selected by the user; extracting a make-up region from the facial image of the user, and transmitting the makeup effect image and information about the make-up region to a makeup matching server; performing, by the makeup matching server, a skin detection on the make-up region, so as to obtain skin information of the facial image; determining, by the makeup matching server, at least one makeup plan matched with the make-up region according to the skin information and the makeup effect image; presenting the at least one makeup plan; determining a difference between the makeup effect image and the facial image using a preset algorithm; and generating makeup modification prompt information for a region in the makeup effect image or the facial image where the difference is greater than a threshold.

Abstract: The invention provides a method and an apparatus for adopting analogue decor templates in decor printing, including a similarity comparison between at least one of (1) to n hyperspectral digital reference images of the analogue decor template and at least one of (1) to n hyperspectral digital actual images of a substrate with decor. A decor-specific profile target is adjusted such that the digital template of the analogue decor template can be output on a substrate by way of an output medium in such a way that the colour deviation between at least one of (1) to n reference images of the analogue decor template and at least one of (1) to n actual images of the substrate with decor is below a specified target value.

Abstract: A method for correcting abnormal point cloud is disclosed. Firstly, receiving a Primitive Point Cloud Data set by an operation unit for dividing a point cloud array into a plurality of sub-point cloud sets and obtaining a plurality of corresponding distribution feature data according to an original vector data of the Primitive Point Cloud Data set. Furthermore, recognizing the sub-point cloud sets according to the corresponding distribution feature data for correcting recognized abnormal point cloud. Thus, when the point cloud array is rendered to a corresponding image, the color defect of the point cloud array will be improved or decreased for obtaining lossless of the corresponding image.

Abstract: Techniques of tracking a user's gaze includes identifying a region of a display at which a gaze of a user is directed, the region including a plurality of pixels. By determining a region rather than a point, when the regions correspond to elements of a user interface, the improved technique enables a system to activate the element to which a determined region is selected. In some implementations, the system makes the determination using a classification engine including a convolutional neural network; such an engine takes as input images of the user's eye and outputs a list of probabilities that the gaze is directed to each of the regions.

Abstract: An image processing apparatus applies predetermined image processing to an actual image captured by an image capturing device and recognizes a target within the captured image with use of the image which the predetermined image processing has been applied to. The image processing apparatus applies, to tones of the actual image, the predetermined image processing for reducing a difference from tones of a CG image which shows the same scene and which is presented through computer graphics.

Abstract: Methods, apparatus, and articles of manufacture providing an efficient safety mechanism for signal processing hardware are disclosed. An example apparatus includes an input interface to receive an input signal; a hardware accelerator to process the input signal, the hardware accelerator including: unprotected memory to store non-critical data corresponding to the input signal; and protected memory to store critical data corresponding to the input signal; and an output interface to transmit the processed input signal.

Abstract: The present application provides a pixel structure, an image sensor, a device, an image processing method and a control method.

Abstract: Systems and methods for updating a model of a building are provided. The method includes obtaining a three-dimensional (3D) model of a building including reference environmental data associated with a plurality of reference locations of the building and obtaining current environmental data corresponding to a current location of the building. The method further includes identifying, from the 3D model, a target reference location corresponding to the current location from the plurality of reference locations of the building and comparing the current environmental data with the target reference environmental data. The method further includes sending to the user device the target reference location when the current environmental data match the target reference environmental data, and updating the 3D model with the current environmental data when the current environmental data statistically un-match the target reference environmental data.

Abstract: A light emitting display device and driving method are disclosed. A light emitting display device includes a display panel including RGBW sub-pixels; a driver configured to drive the display panel; and a timing controller configured to control the driver, wherein W peak luminance derived by the W sub-pixels is higher than a sum of RGB peak luminances derived by the RGB sub-pixels when the display panel displays an image.

Abstract: Methods and systems for chromatic ambient-light support are provided. Given an input surround correlated color temperature (CCT), its normalized value is mapped to a preferred gray CCT value using a sigmoid-like function model generated based on viewer experimental data. The preferred gray CCT value is then mapped to an adjusted CCT value so that viewing conditions on a display with the input surround CCT value match a D65 surround CCT value.

Abstract: An image processing apparatus includes circuitry. The circuitry acquires a first colorimetric value of a target color mixture from a chart printed out in a first state. The circuitry acquires a second colorimetric value of an adjacent color mixture and acquires a second colorimetric value of an adjacent color mixture from a chart printed out in a second state. The circuitry acquires a third colorimetric value of a pre-correction color mixture. The circuitry adds a difference between the first colorimetric value and the second colorimetric value to the third colorimetric value and calculates a predicted colorimetric. The circuitry determines whether a color difference between the predicted colorimetric value and the first colorimetric value. The circuitry acquires, as a correction value, the second gradation value corresponding to the second colorimetric value. The circuitry corrects a corresponding one of the one or more first gradation values by using the correction value.

Abstract: Relative calibration is used to generate tone reproduction curves (TRCs) at multiple printing devices. A first calibration is performed for a first paper at a first printing device to generate a first TRC. A second calibration is performed for the first paper at a second printing device to generate a second TRC. A third calibration is performed for a second paper at the first printing device to generate a third TRC. A device difference dataset is determined using the first TRC and the second TRC. A paper difference dataset is determined using the first TRC and the third TRC. The device difference dataset and the paper difference dataset are used to determine a fourth TRC for the second paper at the second printing device, thereby eliminating the need for further calibration operations.

Abstract: An embodiment method for estimating a missing or incorrect value in a table of values generated by a photosite matrix comprises a definition of a zone of the table comprising the value to be estimated and other values, referred to as neighboring values, and an estimation of the value to be estimated based on the primary neighboring values and the weight associated with these primary neighboring values, wherein a weight of each neighboring value, referred to as primary neighboring value, of the same colorimetric component as that of the missing or incorrect value to be estimated, is determined according to differences between neighboring values disposed on an axis and neighboring values disposed parallel with this axis and positioned in relation to this axis on the same side as the primary neighboring value for which the weight is determined.

Abstract: A stress distribution image processing device including: a processing unit configured to: designate a normalization region which includes a portion of stress equal to or larger than a predetermined threshold value in a screen of a stress distribution image of a target object; and normalize pixels in the normalization region based on stress values in the normalization region to obtain a normalized image.

Abstract: Systems and methods are disclosed for denoising chrominance channels of images. For example, methods may include receiving an image from one or more image sensors; determining a set of weights for the image based on a luminance channel of the image, wherein a weight in the set of weights corresponds to a subject pixel and a candidate pixel and is determined based on luminance values of one or more pixels of the image centered at the subject pixel and one or more pixels of the image centered at the candidate pixel; applying the set of weights to chrominance channels of the image to obtain a denoised image, wherein the subject pixel of the denoised image is determined based on the weight multiplied by the candidate pixel of the image; and storing, displaying, or transmitting an output image based on the denoised image.

Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor; applying a filter to the image to obtain a low-frequency component image and a high-frequency component image; determining a first enhanced image based on a weighted sum of the low-frequency component image and the high-frequency component image, where the high-frequency component image is weighted more than the low-frequency component image; determining a second enhanced image based on the first enhanced image and a tone mapping; and storing, displaying, or transmitting an output image based on the second enhanced image.

Abstract: Image signal processing includes obtaining two or more image signals from a first image sensor, where each of the two or more image signals has a different exposure and obtaining two or more image signals from a second image sensor, where each of the two or more image signals has a different exposure. Image signal processing includes generating an exposure compensated image based on a gain value applied to an exposure level of a first image and a gain value applied to an exposure level of a second image. Image signal processing further includes processing a transformed base layer of the exposure compensated image to obtain a high dynamic range (HDR) image.

Abstract: Determining control operations for an autonomous vehicle may include receiving, by an operational model, an operational model input based on camera data from one or more cameras of an automated vehicle; determining, by the operational model, based on the input, a current environmental state and a predicted environmental state; providing, to a rules module, a differential between the current environmental state and a previously predicted environmental state; and determining, based on the rules module, one or more control operations for the automated vehicle.

Abstract: Systems, devices, media, and methods are presented for gaze-based control of device operations. One method includes receiving a video stream from an imaging device, the video stream depicting one or more eyes, determining a gaze direction for the one or more eyes depicted in the video stream, detecting a change in the gaze direction of the one or more eyes, and triggering an operation in a client device based on the change in the gaze direction.

Abstract: Systems, apparatus, and methods are presented for rendering color images. One method may include receiving first color values of a first image from a first image capture device. The first color values may represent colors in a first color space. The method also may include applying first color transformation information to the first color values to generate first transformed color values of the first image in a particular color space and applying desaturation information to the first transformed color values to generate first desaturated color values of the first image. Further, the method may include providing the first desaturated color values of the first image for rendering on a display device.

Abstract: Embodiments include a method. The method includes maintaining, by a processing device, a real-time context describing a circumstance affecting an object. The method also includes determining a first saturation level of the object within a first portion of the field of view (FOV) of a sensor at a first point in time. The method also includes determining a second saturation level of the object within a second portion of the FOV of the sensor at a second point in time. The method also includes executing, by the processing device, an action to address a positive saturation determination between the first saturation level and the second saturation level.

Abstract: An imaging device includes a display unit configured to display captured images in a list and an image processing unit configured to edit an image selected out of a plurality of images displayed in the list through a predetermined retouch process. A photographing image is acquired and an automatically retouched image is acquired. The imaging device calculates a retouch score as an evaluation value and performs retouch simulation on an image of which the retouch score is equal to or greater than a threshold value. The image processing unit generates thumbnail images based on images before and after the editing of an image, and the display unit displays the list using the generated thumbnail images.

Abstract: An optical sensor system includes a plurality of sets of optical sensors implemented on a substrate, with a plurality of sets of optical filters, wherein a set of optical filters of the plurality of sets of optical filters is associated with a set of optical sensors and a set of optical filters of the plurality of sets of optical filters includes a plurality of optical filters that are arranged in a pattern, with each optical filter of the plurality of optical filters configured to pass light in a different wavelength range of a predefined spectral range. Each set of optical filters operates to provide a bandpass response corresponding to the predefined spectral range and a set of optical filters is located atop an associated set of optical sensors, where at least two sets of optical filters of the plurality of sets of optical filters are configured to provide different bandpass responses.