Abstract: An image signal processor may include a defect pixel determination unit configured to determine whether a target pixel is a defect pixel based on first comparison data that are a result of comparing pixel data of the target pixel included in a target kernel with pixel data of each of a plurality of pixels having attributes identical with attributes of the target pixel, a direction determination unit configured to determine a direction of the target kernel based on second comparison data that are a result of a comparison between pixel data of a pair of pixels that are disposed on a line in one direction and that have identical attributes, and a pixel interpolation unit configured to interpolate the pixel data of the target pixel by using the pixel data of each of a plurality of pixels that are disposed at locations corresponding to the direction of the target kernel.

Abstract: Provided are a prelithiation method of a silicon-based active material, the prelithiation method including step S1 of immersing the silicon-based active material in a prelithiation solution including an organic solvent and a lithium-hydrocarbon molecule complex, step S2 of obtaining a powder by washing the silicon-based active material with the organic solvent and drying the silicon-based active material, and step S3 of performing a heat treatment on the powder at a temperature of 400° C. to 800° C. in an inert gas atmosphere, and a silicon-based active material prelithiated by the method.

Abstract: An image signal processor capable of processing image signals and an image signal processing method for the same are disclosed. The image signal processor includes a first determiner configured to determine whether a target kernel including a target pixel corresponds to a corner pattern, a second determiner configured to determine a corner pattern group corresponding to the target kernel when the target kernel corresponds to the corner pattern, a third determiner configured to determine a target corner pattern corresponding to the target kernel from among a plurality of corner patterns of a corner pattern group corresponding to the target kernel, and a pixel interpolator configured to interpolate the target pixel using pixel data of a pixel corresponding to the target corner pattern.

Abstract: An electroluminescence display apparatus includes a first pixel, a second pixel disposed adjacent to the first pixel in a horizontal direction to share a data line to which a first data voltage and a second data voltage are time-divisionally supplied and a reference voltage line to which a reference voltage is supplied, along with the first pixel, a first gate line coupled to the first pixel to transfer a first gate control signal, corresponding to the reference voltage, to the first pixel, a second gate line coupled to the first and second pixels in common to transfer a second gate control signal, corresponding to the first data voltage and the reference voltage in common, to the first and second pixels, and a third gate line coupled to the second pixel to transfer a third gate control signal, corresponding to the second data voltage, to the second pixel.

Abstract: An image signal processor includes a first determiner and a pixel interpolator. The first determiner compares a target gradient combination for a target kernel including a target pixel with a reference gradient combination for each of a plurality of corner patterns to calculate a similarity score, and determines at least one corner pattern based on the calculated similarity score. The pixel interpolator interpolates the target pixel using pixel data of interpolation pixels determined based on the corner pattern.

Abstract: An image signal processor includes a threshold value calculator configured to calculate a threshold value for a target pixel based on complexity of a target kernel including the target pixel, an adjacent pixel determiner configured to determine, when the target pixel is a corner pixel, one or more valid pixels of the target kernel and at least one reference pixel located outside the target kernel to be adjacent pixels of the target pixel, and a defect detector configured to determine whether the target pixel is a defective pixel according to a result of comparing a difference value between pixel data of the adjacent pixel and pixel data of the target pixel with the threshold value, wherein the corner pixel is a pixel located at each vertex of the target kernel.

Abstract: A bearing steel has improved insulation performance by forming a continuous insulating film. The bearing steel includes 0.65 to 1.0 mass % of carbon (C), 1.6 to 2.0 mass % of chromium (Cr), 1.5 to 3.0 mass % of aluminum (Al), 0.8 to 1.2 mass % of manganese (Mn), 0.7 to 1.0 mass % of silicon (Si), 0.1 to 0.3 mass % of nickel (Ni), 0.08 to 0.12 mass % of molybdenum (Mo), and a balance of iron (Fe), in which an oxynitride layer including a nitride layer and an oxide layer is formed on the surface of a material.

Abstract: An electronic device according to the present technology may include an image sensor including a plurality of pixel groups respectively corresponding to a plurality of exposure values, and a controller configured to select a reference scale image having a minimum exposure value and a target scale image having an exposure value different from the minimum exposure value, among a plurality of scale images that are obtained based on the plurality of pixel groups, and output an output image obtained using a motion map indicating a positional change of an object that is commonly included in the reference scale image and the target scale image.

Abstract: An image signal processor for processing image signals and an image signal processing method for the same are disclosed. The image signal processor includes a directionality determiner configured to determine directionality of a target kernel including a target pixel, based on an angle between directions within the target kernel and a difference in directionality strength between the directions. The image signal processor also includes a pixel corrector configured to correct, when the target kernel has specific directionality according to a result of the directionality determination, the target pixel using pixels arranged in each of a plurality of directions having higher directionality strength than a predetermined directionality strength from among the directions within the target kernel.

Abstract: An image signal processor and an image signal processing method are disclosed. The image signal processor includes a half-edge pattern determination unit configured to determine whether a target kernel including a target pixel corresponds to a half-edge pattern, a half-edge pattern matching unit configured to determine directionality of the target kernel based on a half-edge pattern mask in which a highest weight is assigned to a pixel arranged in one direction from the target pixel when the target kernel corresponds to the half-edge pattern, and a pixel interpolation unit configured to interpolate the target pixel using pixel data of a pixel disposed at a position corresponding to the directionality of the target kernel, wherein the half-edge pattern is a pattern in which a region on one side of the edge crossing the kernel is filled with a texture region and a non-texture region.

Abstract: Provided herein may be an image processing device and an image processing method. The image processing device may include a determination area manager configured to generate a determination area corresponding to a candidate defective pixel based on externally received pixel values and configured to determine whether the determination area is saturated based on pixel values of white pixels included in the determination area, and a defective pixel manager configured to calculate a reference value based on first pixel values of reference pixels that are set based on whether the white pixels are saturated and to determine whether a candidate defective pixel has a defect, based on both the reference value and second pixel values of determination pixels having a color identical to that of the candidate defective pixel, among pixels included in the determination area.

Abstract: The present invention relates to a cosmetic composition including fibroblast growth factor 17 (FGF 17). When using the cosmetic composition for skin regeneration including fibroblast growth factor 17 (FGF 17) of the present invention, the proliferation ability of fibroblasts in the skin is promoted such that there is an effect of skin regeneration, synthesis of collagen and elastin is promoted such that it is possible to ameliorate skin wrinkles and improve skin elasticity, and the proliferation ability of aged skin fibroblasts is restored as much as that of unaged skin fibroblasts such that skin aging can be prevented, and therefore, the cosmetic compound can be widely used in the cosmetic field and the pharmaceutical industry.

Abstract: An image processing device includes a memory configured to store a super resolution network trained to output a corrected image based on an input image; and a processor configured to output a super resolution image based on a first image acquired by a first image sensor and a corrected image output from the super resolution network. The super resolution network is a model trained by using second images acquired through a second image sensor, a type of the second image sensor being different from a type of the first image sensor.

Abstract: A noise removing circuit includes an image combiner suitable for generating a high dynamic range (HDR) image by combining images having different exposure times; a detailed image generator suitable for generating a detailed image from the HDR image; an image strength evaluator suitable for evaluating strength of the detailed image; and a noise coring component suitable for performing a noise coring operation for removing noise from a region of the detailed image in which a signal to noise ratio (SNR) has decreased using a low threshold and a saturation threshold when the strength of the detailed image is less than a reference value.

Abstract: Provided is an apparatus for evaluating high-temperature creep behavior of metals, the apparatus including a chamber configured to fix a metal sample in an inner space sealed from an external environment, and including, at a lower portion, a metal tube stretchable in a length direction by a pressure of a gas, wherein the apparatus is configured in such a manner that a load received by the chamber in the length direction due to the pressure of the gas injected into the chamber is applied to the metal sample.

Abstract: A noise removing circuit includes an image combiner suitable for generating a high dynamic range (HDR) image by combining images having different exposure times; a detailed image generator suitable for generating a detailed image from the HDR image; an image strength evaluator suitable for evaluating strength of the detailed image; and a noise coring component suitable for performing a noise coring operation for removing noise from a region of the detailed image in which a signal to noise ratio (SNR) has decreased using a low threshold and a saturation threshold when the strength of the detailed image is less than a reference value.

Abstract: An electronic apparatus includes a memory for storing a classification network including a plurality of feature extraction layers. The electronic apparatus also includes a processor for acquiring a class score corresponding to an object, which is output from the classification network, by inputting a training image including the object to the classification network, acquiring a final loss value, based on a plurality of activation maps respectively output from the plurality of feature extraction layers and the class score, and controlling the classification network, based on the final loss value.

Abstract: An image processing device includes: an image sensor for acquiring a pixel value of each of a plurality pixels; and a controller for acquiring a pattern image including the pixel value of each of the plurality of pixels and an exposure value representing an exposure time, generating a plurality of super resolution images based on pixels having the same exposure value among the plurality of pixels included in the pattern image, generating a motion map, which represents a motion of an object based on a ratio of exposure values of pixels at a selected position among a plurality of pixels included in the plurality of super resolution images and a ratio of pixel values of the pixels at the selected position, and generating a target image according to a weighted sum of the plurality of super resolution images and the motion map.

Abstract: A noise removing circuit includes an image combiner suitable for generating a high dynamic range (HDR) image by combining images having different exposure times; a detailed image generator suitable for generating a detailed image from the HDR image; an image strength evaluator suitable for evaluating strength of the detailed image; and a noise coring component suitable for performing a noise coring operation for removing noise from a region of the detailed image in which a signal to noise ratio (SNR) has decreased using a low threshold and a saturation threshold when the strength of the detailed image is less than a reference value.

Abstract: An electronic device according to the present technology may include an image sensor including a plurality of pixel groups respectively corresponding to a plurality of exposure values, and a controller configured to select a reference scale image having a minimum exposure value and a target scale image having an exposure value different from the minimum exposure value, among a plurality of scale images that are obtained based on the plurality of pixel groups, and output an output image obtained using a motion map indicating a positional change of an object that is commonly included in the reference scale image and the target scale image.