Abstract: A method for improving image illumination of the present disclosure includes receiving images of original video data, classifying and arranging the images according to illumination for image enhancement processing of the original video data images, and generating high illumination images for an image region by processing the images using a neural network for image enhancement that is selected according to the illumination attribute of the classified images from among groups of neural networks for image enhancement, so as to reproduce a video having enhanced illumination. The neural network for image enhancement according to an embodiment of the present disclosure may be a deep neural network generated through machine learning, and input and output of images is performed in an Internet of Things (IoT) environment using a 5G network.

Abstract: A method for improving image illumination of the present disclosure includes receiving images of original video data, classifying and arranging the images according to illumination for image enhancement processing of the original video data images, and generating high illumination images for an image region by processing the images using a neural network for image enhancement that is selected according to the illumination attribute of the classified images from among groups of neural networks for image enhancement, so as to reproduce a video having enhanced illumination. The neural network for image enhancement according to an embodiment of the present disclosure may be a deep neural network generated through machine learning, and input and output of images is performed in an Internet of Things (IoT) environment using a 5G network.

Abstract: A method and an apparatus for editing an image are provided. The method for editing an image includes editing an image through filter application, storing filter information, retraining a deep neural network model based on the filter information, and outputting the filter information using the deep neural network model. According to the present disclosure, image editing based on image analysis using an artificial intelligence (AI) model through a 5G network is possible.

Abstract: A method for restricting the use of a mobile terminal including generating a coded value corresponding to a user authentication card, and determining whether or not the mobile terminal is available for use based on the generated coded value. Further, determining whether or not the mobile terminal is available for use includes checking whether or not the generated coded value is on a registration coded value list, and checking whether or not the generated coded value is on a prohibition coded value list if the generated coded value is not on the registration coded value list.

Abstract: A mobile terminal and system providing multilingual support, are discussed. According to an embodiment, the system includes a server configured to store fonts of different languages of countries, a mobile terminal configured to download a multilingual software module from the server through a wireless network, and/or to receive a multilingual software module stored in an external storage media, and the external storage media configured to be received by the mobile terminal.