Abstract: An electronic apparatus and an operating method thereof are provided. The electronic apparatus includes a display panel, a memory, and a processor. The processor obtains an input image including a first area and a second area, generates a calibration map that allocates, to the first area, a first calibration value for representing a first depth value and allocates, to the second area, a second calibration value for representing a second depth value, applies the calibration map to the input image to generate an output image including a first output area and a second output area, and displays the output image on the display panel. The first output area has a depth value obtained by converting the first depth value so as to correspond to the display panel. The second output area has a depth value obtained by converting the second depth value so as to correspond to the display panel.

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: Provided is an electronic device, wherein the at least one processor is configured to execute the at least one instruction to obtain a first light field image including view images with a first number of views, obtain, from the first light field image, a second light field image including view images with a second number of views, obtain first location information corresponding to each of sub-pixels in the second light field image, obtain a first layer image by inputting the second light field image and the first location information to an artificial intelligence model configured to perform factorization, obtain a third light field image including view images with a third number of views by inputting the first layer image to a simulation model, and train the artificial intelligence model, based on a result of comparing the first light field image and the third light field image with each other.