Abstract: In some examples, a system detects a highlighted area in an image content. The system applies a color adjustment process in the highlighted area. The color adjustment process is not applied in areas of the image content outside the highlighted area, and the color adjustment process includes an operation of adjusting a color of the highlighted area. The adjusting of the colors of the highlighted area includes adjusting a color value of a specified color space.

Abstract: A skincare device including a spectral sensor configured to capture a spectral image of a subject at one or more wavelengths outside of the visible spectrum; and a controller is provided. The controller is configured to analyse the spectral image to determine a measure of cosmetic residue present on the subject; and control the skincare device to perform an action associated with the determined measure of cosmetic residue. Also provided is a method and computer programme for the device.

Abstract: A clinical monitoring device, in particular a patient zone monitoring device is described. The monitoring device comprises a first sensing unit comprising at least one first sensor configured to acquire spatial data representing spatially resolved depth information with respect to a first field of view of the first sensing unit, a second sensing unit comprising at least one second sensor configured to acquire thermal data representing spatially resolved temperature information with respect to a second field of view of the second sensing unit, and a processing unit comprising at least one processor, the processing unit being configured to receive the spatial data from the first sensing unit and the thermal data from the second sensing unit and process at least the spatial data and the thermal data to generate scene data representing information with respect to a scene in a volume comprised in at least one of the first field of view and the second field of view.

Abstract: Embodiments of the invention include ascribing a predetermined data record to a physical surface in the form of an imperfect aesthetic pattern of marks. An image showing a portion of the surface, when processed with a decoder, yields the predetermined, verified data record.

Abstract: A processing device and method for executing a color twist operation are provided. The processing device comprises memory and a processor configured to convert values of pixels of a frame from a first color domain to a hue, saturation and value (HSV) color domain, adjust hue values and saturation values of the pixels, store the adjusted hue and saturation values in a portion of the memory local to the processor and convert the frame from the HSV color domain to the first color domain using the adjusted hue and saturation values stored in local memory. The adjusted hue and saturation values are generated from pre-adjusted values, which are generated from masked vector values.

Abstract: Provided are a YOLOv5-based real-time detection method and device for blade cracks in aeroengine operation and maintenance. The method includes: sending a first instruction to obtain images of internal blades of an engine; preprocessing the images of the internal blades of the engine to obtain a test dataset, a training dataset, and a validation dataset; inputting the training dataset into a preset YOLOv5 network model for training, preliminarily evaluating a model effect derived from training by using the validation dataset to adjust the model, testing the model by using a trained weight file and the test dataset, and obtaining an mAP value and a precision-recall curve to finally evaluate the model; obtaining the images of the internal blades of the engine in real time, detecting the internal blades of the engine in real time by using the weight file, and outputting a detection result.

Abstract: A method of generating a color correction model, including: acquiring first color coordinates of a sample pixel in a first color space; converting the first color coordinates of the sample pixel to second color coordinates of the sample pixel in a second color space; inputting the second color coordinates of the sample pixel into an initial color correction model to generate sample output data; and training the initial color correction model according to the sample output data and theoretical output data corresponding to the first color coordinates, to obtain a trained color correction model, where the trained color correction model is configured to perform color correction on a target pixel in each of a plurality of video standards.

Abstract: An edge device can include a processing device, an image sensor, and a memory having instructions that are executable by the processing device for causing the processing device to perform operations. The processing device can receive, from the image sensor, an image of an environment. The processing device can determine a visibility measure corresponding to the environment by determining a dark channel of the image, determining, based on the dark channel of the image, a transmission map of the image, and determining, based on the transmission map, a visual contrast of the image. The processing device can generate information corresponding to the visibility measure.

Abstract: Embodiments of the invention include ascribing a predetermined data record to a physical surface in the form of an imperfect aesthetic pattern of marks. An image showing a portion of the surface, when processed with a decoder, yields the predetermined, verified data record.

Abstract: The present invention falls within the field of medical imaging, specifically imaging aimed at identifying breast lesions, specifically, identifying potential breast cancer lesion masses or potential cancer lesion calcifications of the breast. The object of the present invention is a computational method for the improved identification of breast lesions that involves obtaining digital images of a breast section, with at least two digital images obtained by different imaging technologies, their segmentation and consequent correlations, to identify one or more cancer lesions. This allows for improved automation of the identification of breast lesions.

Abstract: A method of requalifying a die after storage under this disclosure could be said to include the steps of running production parts on a die, stopping production for a period of time, taking a pre-storage 3D scan of the die, storing the die for a period of time, taking a post storage 3D scan of the die, comparing the post storage 3D scan information to the pre-storage 3D scan information, and requalifying the die for use in production should the post storage 3D scan be found to be sufficiently close to the pre-storage 3D scan.

Abstract: The technology described herein generally relates to warping images based on one or more user inputs. In some embodiments, a selection of pixels of an image is received and skeletonized. A starting pixel of the skeletonized set of pixels is determined. Horizontal distances between the starting pixel and other pixels of the skeletonized set of pixels are determined. Rows of pixels of the image that intersect the skeletonized set of pixels are determined. The image is modified by shifting each of the rows of pixels based on the corresponding horizontal distances.

Abstract: A black-generation-and-UCR processing unit generates image data of a black ink color from image data of chromatic ink colors of the image and adjusts values of the image data of the chromatic ink colors correspondingly to generation of the image data of the black ink color. An image outputting unit causes a printing device to perform printing based on the image data. A print condition adjustment unit derives an ink coverage of the image on a print sheet, determines a black generation ratio corresponding to the ink coverage, and causes the black-generation-and-UCR processing unit to perform generation of the image data of the black ink color with the determined black generation ratio. The ink coverage indicates a ratio of ink usage amounts of the chromatic ink colors and the black ink color to a predetermined maximum value, for a pixel for which ink is ejected in the image.

Abstract: Disclosed in this application are a method for embedding a watermark in video data and apparatus, a method for extracting a watermark in video data and apparatus, a device, and a storage medium. The method for embedding the watermark includes: acquiring a target image frame in video data; performing time-frequency transformation on the target image frame to obtain target frequency domain data, the target frequency domain data comprising a matrix formed by frequency domain coefficients; changing the frequency domain coefficients in the target frequency domain data according to watermark data to obtain watermarked frequency domain data; performing inverse time-frequency transformation on the watermarked frequency domain data to obtain a watermarked image frame; and synthesizing watermarked video data according to the watermarked image frame.

Abstract: An image processing apparatus including at least one processor and at least one memory coupled to the at least one processor, the memory storing instructions that, when executed by the processor, cause the processor to act as an obtaining unit configured to obtain information indicating a position of deformation of a structure in an image capturing the structure and a display control unit configured to display a first deformation object indicating the position of the deformation of the structure in a superimposed manner on the image capturing the structure, and to perform control to decide a color of the first deformation object in the superimposed display in accordance with a color of a background of the first deformation object.

Abstract: An electronic device includes at least one processor and a memory functionally connected to the at least one processor, where the memory can store instructions so that, when executed, the at least one processor acquires a first image, acquires a second image by applying a visual effect to the first image, acquires a third image by reversely applying the visual effect to the second image, acquires, on the basis of the first image and the third image, reconstruction information for reconstructing the first image and stores, in the memory, the second image, information about the visual effect and the reconstruction information.

Abstract: A printed material inspection device for detecting types of defects of a printed material by using inspection data based on a captured image of the printed material and reference data which is a digital image of a printing target image indicated by print data of the printed material, includes: one or more storage devices; and one or more processors configured to acquire the reference data, perform, as preprocessing of converting the reference data for comparing the reference data and the inspection data to each other, types of preprocessing, which are different depending on a defect type of a detection target, on the reference data before the inspection data is acquired, to generate pieces of comparison reference data, which are different depending on the defect type of the detection target, from the reference data, and hold the pieces of comparison reference data in the one or more storage devices.

Abstract: A method for processing color images includes accessing a color image which uses a HSV color model where each pixel of the color image has a hue value, normalizing the hue value of each pixel to a normalized hue value, determining a first median as a median of the normalized hue values, re-coloring the normalized hue values of each pixel based on enlarging hue ranges within a range of a particular hue to provide re-colored hue values, determining a second median as a median of the re-colored hue values, shifting the re-colored hue values for each pixel based on a difference between the first median and the second median to provide shifted hue values, and de-normalizing the shifted hue values for each pixel to provide a processed color image.

Abstract: A method for determining chromaticity information and a related electronic device. The method includes: starting, by the electronic device, a camera application; obtaining, by a first channel of a multispectral sensor, a first channel value; sending the first channel value to an automatic white balance module; selecting, by the automatic white balance module, a target algorithm from a plurality of algorithms based on the first channel value; and determining, by the electronic device, target chromaticity information based on a target algorithm.

Abstract: Techniques for item origin identification by matching image embeddings are described herein. For example, a computer system can access first image data corresponding to a set of items at a first location of a facility. The first image data can be associated with the first location and can be obtained by a first imaging device. The computer system can generate first set of image embeddings based on the first image data. The first set of image embeddings can represent the set of items. The computer system can determine that a first item of the set of items originated at the first location based at least in part on a matching algorithm comparing the first set of image embeddings with a second image embedding that represents the first item at an identification location of the facility.