Abstract: A display device includes: a substrate; a first electrode and a second electrode on the substrate, extended in a first direction and spaced apart from each other; a first insulating layer on the first electrode and the second electrode; a light-emitting element on the first insulating layer and between the first electrode and the second electrode; and a first connection electrode connected to a first end of the light-emitting element and a second connection electrode connected to a second end of the light-emitting element, wherein the first insulating layer overlaps with the light-emitting element and comprises trench portions comprising a plurality of trenches.

Abstract: An electronic includes a communication device that receives object information of a target captured by a camera and recognized based on a deep learning model. The electronic device also includes a memory storing calibration information of the camera and physical information of the target. The electronic device additionally includes a processor configured to determine movement information of the target based on the object information. The processor is also configured to determine a first physical quantity to the target based on the movement information and the calibration information. The processor is further configured to determine a second physical quantity to the target based on the movement information and the physical information. The processor is additionally configured to compare the first physical quantity with the second physical quantity to determine whether to adjust the calibration information.

Abstract: Disclosed is a display apparatus including emissive devices disposed in a display area, signal lines disposed in a non-display area, first touch electrodes disposed in the display area, the first touch electrodes being arranged in a first direction, second touch electrodes disposed in the display area while being arranged in a second direction perpendicular to the first direction, touch routing lines disposed in the non-display area, the touch routing lines being electrically connected to the first touch electrodes or the second touch electrodes, wherein the display area includes a first region including touch blocks surrounded by lines dividing the first touch electrodes into halves in the second direction and lines dividing the second touch electrodes into halves in the first direction and a second region provided so as to surround the first region, the touch blocks being disposed spaced apart from each other in the second region.

Abstract: Disclosed are a method of manufacturing a carbon support for a fuel cell catalyst, a carbon support for a fuel cell catalyst manufactured according to the method, and a catalyst for a fuel cell including the same. The method may include using various organic materials containing N and various carbon supports and thus provide excellent economic feasibility. In addition, pyridinic N and pyrrolic N of doped N can be adjusted at an optimal content ratio so that the carbon support for a fuel cell catalyst manufactured and the catalyst for a fuel cell including the same have excellent electrochemical resistance and excellent electrochemical characteristic due to an increase in an electrochemically active surface area, and excellent durability due to an increase in thermal durability.

Abstract: Provided is a composition for inhibiting fat formation and reducing body fat, the composition including hydrangenol as an active ingredient. The composition of the present disclosure reduces fat accumulation in adipocytes, reduces phosphorylation of mammalian target of rapamycin (mTOR), and increases phosphorylation of forkhead box O1 (FoxO1), and finally, leading to reduction of an expression level of peroxisome proliferator-activated receptor gamma ? (PPAR), and as a result, the composition inhibits formation of triglyceride in adipocytes to exhibit an anti-obesity effect. Accordingly, the composition including hydrangenol disclosed herein as an active ingredient may be usefully applied to the fields of health functional foods or cosmetics for inhibiting fat formation.

Abstract: An electronic apparatus includes: an image sensor including normal pixels and phase detection pixels; and a processor for detecting a noise region in a flare region included in a normal image generated based on a plurality of pixel values sensed through the normal pixels and the phase detection pixels, and generating an output image including final pixel values obtained by correcting the pixel values, using peripheral pixel values of each of pixel values included in the noise region.

Abstract: An electronic device includes a synthetic voltage generation circuit configured to generate a synthetic voltage by synthesizing a supply voltage a voltage level of which is changed in response to a change in a voltage level of a first external voltage and an upper limit reference voltage a voltage level of which is set in response to a first selection signal and a second selection signal that are generated by detecting a process, voltage, and temperature (PVT) variation, and an internal voltage generation circuit configured to, based on the synthetic voltage, generate an internal voltage that is used as a body voltage of a transistor included in an internal circuit.

Abstract: An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Abstract: An image processing apparatus is coupled to a plurality of image capturing devices. The image processing apparatus reduces a noise in an epi-polar image while generating a three-dimensional image from a multi view image. The image processing apparatus divides the multi view image into a flat region and a non-flat region, generates the epi-polar image from the multi view image, replaces an epi-polar line in the epi-polar image corresponding to the flat region with an average pixel value of the multi-view image, and replaces an epi-polar line in the epi-polar image corresponding to the non-flat region with a pixel value of a center-view image obtained from a centrally located image capturing device among the plurality of image capturing devices.

Abstract: An image signal processor includes a calibration interpolation unit configured to generate interpolation calibration information for a target pixel using calibration information of at least one grid pixel adjacent to the target pixel. The image signal processor also includes a depth data correction unit configured to generate corrected depth data by correcting target depth data of the target pixel based on the interpolation calibration information.

Abstract: Disclosed is an image processor and an image processing system including the image processor, and the image processing system may include an image sensor including a plurality of pixel areas, and configured to generate pixel values from the plurality of pixel areas, and an image processor configured to, based on the pixel values and a calibration map, calibrate a disparity value for each pixel area, and generate a depth map.

Abstract: Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.

Abstract: An image processing device is provided, which has an improved face detection method. The image processing device may include a background manager, which determines a foreground region having a target object and a background region which excludes the target object based on image data that includes pixel values of pixels included in the image and depth map data that includes disparity values of the image pixels. A target object manager determines a reference position of the target object by counting foreground pixels included in the foreground region in a preset direction at a plurality of positions, and detecting the target object corresponding to a preset shape within a region of interest that is set based on the reference position.

Abstract: An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Abstract: An ambient light intensity is measured without a dedicated light intensity sensor and is determined instead using only an image sensor, image data from the image sensor, the luminance values obtained from the image data image sensor setup conditions, and determining when a setup condition sensor is changed or needs to be changed because of ambient brightness in the vicinity of the image sensor.

Abstract: A device performs ambient light sensing using an image sensor. The device includes an image sensor and a receiver configured to receive image data from the image sensor. The device also includes a luminance calculator configured to calculate a code corresponding to the luminance value of the image data based on the image data. The device further includes an image sensor controller configured to change the setup condition of the image sensor in response to the code having a minimum value or a maximum value, among values capable of being assumed by the code. The device additionally includes a brightness measurer configured to output a brightness value in the vicinity of the image sensor, which is identified using the changed setup condition and the code.

Abstract: Provided is an image processing system and a disparity calculation method. An image processing device included in the image processing system includes a preprocessor configured to determine an effective range of a focal length of an image sensor based on first disparities measured at a plurality of focal lengths of an object having a fixed position from the image sensor, and determine a representative value of equivalent aperture values for the image sensor corresponding to the effective range based on the first disparities. The image processing device also includes a disparity calculator configured to calculate a second disparity of the target object within the effective range based on the focal length, a first distance, a second distance, and the representative value of the equivalent aperture values.

Abstract: Disclosed is an image sensing device and an operating method thereof. The image sensing device may include an analyzer suitable for analyzing a state of each of multiple kernels based on system information and a plurality of pixel values, a detector suitable for detecting color noise of a target pixel value among pixel values included in a target kernel among the multiple kernels, according to the analysis result of the analyzer, and a corrector suitable for correcting the target pixel value according to the detection result of the detector.

Abstract: An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Abstract: Disclosed is an image processor and an image processing system including the same, and the image processor includes: a first processing module for generating an actual output image obtained by correcting first values of first phase detection pixels based on an actual input image corresponding to first normal pixels and the first phase detection pixels arranged in a first pattern; a second processing module for calculating inverse gain values between the actual input image and the actual output image; and a third processing module for generating a virtual input image based on the actual output image and the inverse gain values, the virtual input image corresponding to second normal pixels and second phase detection pixels arranged in a second pattern, wherein the first processing module further generates a virtual output image obtained by correcting second values of the second phase detection pixels on the basis of the virtual input image.