Abstract: Provided are an image processing apparatus and an operation method of the image processing apparatus. The image processing apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to, by using one or more convolution neural networks, extract target features by performing a convolution operation between features of target regions having same locations in a plurality of input images and a first kernel set, extract peripheral features by performing a convolution operation of features of peripheral regions located around the target regions in the plurality of input images and a second kernel set, and determine a feature of a region corresponding to the target regions in an output image, based on the target features and the peripheral features.

Abstract: Disclosed are an apparatus, a system, and a control method for measuring an LED panel. The method for measuring an LED panel comprises the steps of: capturing an image of an LED panel displayed in a preset color; classifying each pixel of the LED panel from the captured image of the LED panel into pixel regions having different sizes according to a predetermined threshold brightness value; obtaining a tristimulus value of each pixel by using the data of the classified pixel regions and a trained artificial intelligence model; and obtaining the luminance and chrominance of each pixel on the basis of the obtained tristimulus value.

Abstract: A stacked display apparatus and a method of operating the same are provided. The stacked display apparatus includes a first display panel in a form of a first aperture shape, and a second display panel in a form of a second aperture shape that is different from the first aperture shape, the second display panel being stacked on the first display panel, and a ratio of a first maximum spatial frequency of the first aperture shape and a second maximum spatial frequency of the second aperture shape is outside a predetermined range.

Abstract: A display apparatus is disclosed. The display apparatus includes a backlight configured to emit light; a first polarizing plate, disposed in front of the backlight, configured to polarize light emitted from the backlight in a first direction; and a plurality of display panels sequentially disposed in front of the first polarizing plate, wherein each of the plurality of display panels is configured to include a liquid crystal panel and a color filter disposed in front of the liquid crystal panel, and wherein a display panel disposed at a farthest distance from the first polarizing plate from among the plurality of display panels is configured to include a second polarizing plate that polarizes the light of the first direction in a second direction.

Abstract: An image processing apparatus includes: a memory; and a processor configured to execute one or more instructions stored in the memory to: determine a scale weight for each pixel of original pixels in an original image based on first attribute-related information set by dividing the original image into an object region and a peripheral region, respectively; determine an additional weight for at least one pixel of the original pixels in the peripheral region, based on the first attribute-related information, and second attribute-related information that is based on an amount of a change between pixel values of adjacent pixels; and obtain a transformed image of which a size is changed from the original image, by applying at least one of the scale weight and the additional weight to corresponding pixels of the original pixels to obtain a pixel value of a transformed pixel in the transformed image.

Abstract: An image processing apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory. The processor is configured to, by using one or more convolution neural networks, extract target features by performing a convolution operation between features of target regions having same locations in a plurality of input images and a first kernel set, extract peripheral features by performing a convolution operation of features of peripheral regions located around the target regions in the plurality of input images and a second kernel set, and determine a feature of a region corresponding to the target regions in an output image, based on the target features and the peripheral features.

Abstract: A display apparatus is disclosed. The display apparatus includes a backlight configured to emit light; a first polarizing plate, disposed in front of the backlight, configured to polarize light emitted from the backlight in a first direction; and a plurality of display panels sequentially disposed in front of the first polarizing plate, wherein each of the plurality of display panels is configured to include a liquid crystal panel and a color filter disposed in front of the liquid crystal panel, and wherein a display panel disposed at a farthest distance from the first polarizing plate from among the plurality of display panels is configured to include a second polarizing plate that polarizes the light of the first direction in a second direction.

Abstract: The present disclosure provides an apparatus for decoding a video, the apparatus including at least: a bitstream decoder configured to extract information on a size of a transform unit and generate a quantized frequency transform block from a bitstream; an inverse quantization unit configured to reconstruct a frequency transform block by inversely quantizing the quantized frequency transform block; an inverse transformer configured to reconstruct a residual block by inversely transforming the frequency transform block, the inverse transformer selecting an inverse transform scheme among a plurality of inverse transform schemes in consideration of the size of the transform unit; a predictor configured to generate a predicted block in a prediction mode selected among an intra prediction mode and an inter prediction mode; and an adder configured to reconstruct a current block by adding a first pixel corresponding to the residual block and a second pixel corresponding to the predicted block.

Abstract: The present disclosure provides an apparatus for encoding a video including: a prediction unit to generate a predicted block of a current block; a subtraction unit to generate a residual block by subtracting the predicted block from the current block; a transformer to transform the residual block into a frequency transform block by performing different transform methods on different transform units; a quantization unit to quantize the frequency transform block to generate a quantized frequency transform block; and a bitstream generator to encode the quantized frequency transform block into a bitstream.

Abstract: The present disclosure provides an apparatus for decoding a video, the apparatus including at least: a bitstream decoder configured to extract information on a size of a transform unit and generate a quantized frequency transform block from a bitstream; an inverse quantization unit configured to reconstruct a frequency transform block by inversely quantizing the quantized frequency transform block; an inverse transformer configured to reconstruct a residual block by inversely transforming the frequency transform block, the inverse transformer selecting an inverse transform scheme among a plurality of inverse transform schemes in consideration of the size of the transform unit; a predictor configured to generate a predicted block in a prediction mode selected among an intra prediction mode and an inter prediction mode; and an adder configured to reconstruct a current block by adding a first pixel corresponding to the residual block and a second pixel corresponding to the predicted block.

Abstract: The present disclosure provides an apparatus for encoding a video including: a prediction unit to generate a predicted block of a current block; a subtraction unit to generate a residual block by subtracting the predicted block from the current block; a transformer to transform the residual block into a frequency transform block by performing different transform methods on different transform units; a quantization unit to quantize the frequency transform block to generate a quantized frequency transform block; and a bitstream generator to encode the quantized frequency transform block into a bitstream.