Abstract: A light-emitting element includes a first semiconductor layer, a light-emitting layer disposed on the first semiconductor layer, a second semiconductor layer disposed on the light-emitting layer, a device electrode layer disposed on the second semiconductor layer, a reflective electrode layer disposed on the device electrode layer, an insulating film surrounding a side surface of the light-emitting layer, a side surface of the second semiconductor layer, and a side surface of the device electrode layer, and a reflective layer surrounding a side surface of the insulating film, wherein the side surface of the device electrode layer is aligned with a side surface of the reflective electrode layer.

Abstract: Provided are a device and a method for detecting a wildfire. The wildfire detecting device may include: an image data acquisition module acquiring image data captured by a shooting device; an image data storage module storing the image data acquired through the image data acquisition module in a storage space; a wildfire detection module performing wildfire detection by using a deformable convolution based deep learning model to which smoke characteristics widely diffused are reflected by dynamically adjusting a filter position by using a learnable offset from the image data; and a wildfire direction and position estimation module estimating a direction and a position of the wildfire with respect to a case where it is determined that the wildfire occurs by the wildfire detection module.

Abstract: Provided are a system and method for estimating a location of a forest fire. The system for estimating the location of the forest fire may include an artificial intelligence-based forest fire detection module that detects a forest fire from a captured image using an artificial intelligence model; a monitoring camera configured to monitor a predetermined area; a direction estimation module configured to estimate a direction of the forest fire on a map, using a forest fire detection image provided from the artificial intelligence-based forest fire detection module and data of the monitoring camera; and a location estimation module configured to estimate the location of the forest fire, using an altitude map table configured to provide altitude of a corresponding location from latitude and longitude of the monitoring camera, based on the estimated direction of the forest fire.

Abstract: Provided are a forest fire detection system and method capable of determining whether events. The forest fire detection system includes an artificial intelligence-based forest fire detection module configured to detect a forest fire from a captured image using an artificial intelligence model; a monitoring camera configured to monitor a predetermined area; a direction estimation module configured to estimate a direction of the forest fire on a map, using a plurality of forest fire detection images provided from the artificial intelligence-based forest fire detection module and data of the monitoring camera; and a same event determination module configured to determine whether events represented by the plurality of forest fire detection images are the same, based on the estimated direction of the forest fire.

Abstract: Various exemplary embodiments related to an electronic apparatus and a method for taking a photograph in the electronic apparatus are disclosed, and according to an exemplary embodiment, the electronic apparatus may include a display that displays a screen; a depth sensor that outputs a first image signal and depth information; an image sensor that outputs a second image signal; and a control unit that controls to display a preview screen on the display using the first image signal, obtain both depth information of a photographing moment and an image of the photographing moment using the second image signal in response to a request of photographing, and store the image and the depth information. Also, other various exemplary embodiments may be possible.

Abstract: Various exemplary embodiments related to an electronic apparatus and a method for taking a photograph in the electronic apparatus are disclosed, and according to an exemplary embodiment, the electronic apparatus may include a display that displays a screen; a depth sensor that outputs a first image signal and depth information; an image sensor that outputs a second image signal; and a control unit that controls to display a preview screen on the display using the first image signal, obtain both depth information of a photographing moment and an image of the photographing moment using the second image signal in response to a request of photographing, and store the image and the depth information. Also, other various exemplary embodiments may be possible.

Abstract: An edge-adaptive interpolation and noise filtering method is provided including performing primary interpolation on a first color, based on a first preset number of directions, with respect to a first color window obtained from an input image window, estimating an edge direction within a primary interpolated first color window obtained by the primary interpolation, based on a second preset number of directions, the second preset number of directions being larger than the first preset number, with respect to the primary interpolated first color window, performing secondary interpolation on the first color, based on the estimated edge direction, with respect to the primary interpolated first color window, and performing interpolation on a second color, based on the estimated edge direction, with respect to a second color window obtained from the input image window.

Abstract: The present invention provides a method for efficiently removing noise of an image sensor. To this end, the present invention enables: an area to be divided into an edge area, a sensitivity difference generation area, and a pattern area relative to an input image of a Bayer pattern; and different noise removing methods to be applied according to each of the divided areas. By doing this, noise can be removed efficiently since the noise is adaptively removed in each area. Further, sensitivity differences between Gr and Gb are considered in such a manner that resolution can be improved.

Abstract: Provided are a battery cell and a battery module including the same, and more particularly, the battery cell can secure safety thereof, by forming an exhaust part in a predetermined region of a sealing part to have a sealing member thicker than the other region of the sealing part so that the exhaust part has relatively weaker adhesive strength than the sealing part not containing the exhaust part, and thus, the adhesive state of the exhaust part is broken when high pressure occurs within the cell due to overheat conditions such as overcharging or inner short circuits to cause a case of the cell to swell, thereby discharging out the substances within a pouch type secondary cell.

Abstract: There is provided an electrode assembly of a secondary battery in which first and second electrode plates are sequentially stacked, a first separator is interposed between the first and second electrode plates, and the first and second electrode plates and the first separator are wound. The first electrode plate has one surface on which first electrode tabs are formed and an other surface on which the first electrode tabs are not formed, the second electrode plate has one surface on which second electrode tabs are formed and an other surface on which the second electrode tabs are not formed, and the first and second electrode plates further include a stacking surface formed between one surface and the other surface thereof and having a width increased by a predetermined interval whenever they are wound.

Abstract: A method for removing defective pixels using a signal processing scheme with a Bayer pattern, by determining an output value of the inter-channel according to whether or not a difference between a center pixel and an average of neighboring pixels, which have the same color as that of the center pixel, is greater than or equal to a threshold value; and using values of neighboring pixels nearest to a center pixel as an input, obtaining an output value of the cross-channel by finding a median value among a median value of vertical and horizontal lines including the center pixel, a median value of diagonal lines including the center pixel, and a value of the center pixel. Then, a defective pixel is removed, through the use of the output value of the inter-channel, the output value of the cross-channel, and the value of the center pixel.

Abstract: The present disclosure relates to a method and an apparatus for image processing. The method includes: setting a block including at least one pixel and a window including the at least one block, with a center pixel as a reference; converting an input image in a YCbCr format to a monochrome image; determining a magnitude of an edge component and an edge direction in the window; determining a weight of the block in consideration of the magnitude of the edge component and the edge direction; and determining a color signal value of the center pixel by reflecting the weight of the block in the monochrome-converted window.

Abstract: A device and method for reducing color noise of an image by using a distance weight depending on a distance from a central pixel for each pixel of an image and an edge weight depending on the difference in luminance and chrominance with the central pixel is provided, which can effectively reduce the color noise of the image by using the correlation between the luminance and the chrominance and edge characteristics.

Abstract: An image classification apparatus and method for Automatic White Balance (AWB) are provided. An input image is divided into blocks including pluralities of pixels. A hue value and a chroma value are calculated for each of the blocks. A color-changed block is detected by calculating, for each one of the blocks, differences between the hue and chroma values calculated for all blocks adjacent to the one of the blocks and the hue and chroma values calculated for the one of the blocks. A hue variance and a chroma variance are calculated for the entire input image if a number of the detected color-changed blocks is greater than or equal to a first threshold. The input image is determined as a non-monochromatic image, if the hue variance is greater than or equal to a second threshold or the chroma variance is greater than or equal to a third threshold.

Abstract: Provided are a battery cell and a battery module including the same, and more particularly, the battery cell can secure safety thereof, by forming an exhaust part in a predetermined region of a sealing part to have a sealing member thicker than the other region of the sealing part so that the exhaust part has relatively weaker adhesive strength than the sealing part not containing the exhaust part, and thus, the adhesive state of the exhaust part is broken when high pressure occurs within the cell due to overheat conditions such as overcharging or inner short circuits to cause a case of the cell to swell, thereby discharging out the substances within a pouch type secondary cell.

Abstract: An image generating apparatus and method for emphasizing an edge, based on image characteristics by extracting an edge region from an input original image, and an edge gain indicating a degree for emphasizing the edge region and an edge threshold indicating a degree of complexity between pixels are calculated for each of a plurality of image regions of the original image. The extracted edge region is combined with the calculated edge gain. Thresholding is performed by adjusting the calculated edge threshold for the edge region combined with the edge gain, and the thresholding-applied edge region is combined with the original image to output a final image. By adaptively adjusting an edge gain and an edge threshold for a portion where an edge needs to be emphasized and the other portions in an image having multiple image characteristics, both edge emphasis and noise cancellation can be achieved together.

Abstract: An image processing method and apparatus capable of easily detecting an edge of an object from an input image, in which the edge is detected using one step, without a pre-processing step, and a complicated trigonometric function is not used for gradient detection. The image processing method includes setting a window within an input image, analyzing the window to determine directions of edges of objects within the image included in the window, detecting edge information including the edge directions, and processing and outputting the window using the edge information.

Abstract: A lens shading correction method and apparatus are provided for removing vignetting occurring in digital images due to lens shading. A white image captured by an image pickup device and an image pickup unit is separated into reference white images corresponding to color channels. A vignetting center having a maximum light intensity is estimated in each of the reference white images. Multiple reference segments on each of the reference white images are defined. A lens shading correction value corresponding to each pixel constituting the reference segments are calculated using a corresponding light intensity. A lens shading correction function corresponding to each reference segment is derived using a corresponding lens shading correction value. Vignetting of a general image received in a general image processing mode is removed, using the derived multiple lens shading correction functions.

Abstract: The present invention relates to an apparatus and method for inspecting the electrodes of a battery, which inspects the arrangement state of anodes and cathodes in the battery in a non-destructive manner (using X-rays). The apparatus radiates X-ray beams onto a battery in which a plurality of plate-shaped anodes and a plurality of plate-shaped cathodes are alternately stacked and inspects an arrangement state of the anodes and the cathodes. The apparatus includes a first X-ray source part for radiating a first X-ray beam onto the battery. A first detector detects the first X-ray beam having transmitted through the battery. A control unit receives an image of the battery output from the first detector, calculates a step difference between each anode and each cathode, and then inspects an arrangement state of the anode and the cathode.

Abstract: The present invention provides a method for efficiently removing noise of an image sensor. To this end, the present invention enables: an area to be divided into an edge area, a sensitivity difference generation area, and a pattern area relative to an input image of a Bayer pattern; and different noise removing methods to be applied according to each of the divided areas. By doing this, noise can be removed efficiently since the noise is adaptively removed in each area. Further, sensitivity differences between Gr and Gb are considered in such a manner that resolution can be improved.