Lg Electronics Inc.

Seung Hwan Moon

Young Kwon Kim

Hyun Dae Choi

Keum Sung Hwang

A method for restoring a compressed image according to an embodiment of the present disclosure includes receiving monochrome image data and low resolution color image data generated from an original color image of the monochrome image data, decoding the monochrome image data and generating a low resolution monochrome image, decoding the low resolution color image data generating a low resolution color image; processing the low resolution monochrome image and generating a high resolution monochrome image in accordance with a super resolution imaging neural network; and generating a high resolution color image based on the low resolution color image and the high resolution monochrome image in accordance with a colorization imaging neural network. The imaging neural network of the present disclosure may be a deep neural network generated by machine learning, and images may be input and output in the Internet of Things environment using a 5G network.

Method and apparatus for compressing or restoring image

A method for enhancing video frame resolution according to one embodiment of the present disclosure may include loading video data including a plurality of frames having low resolution; selecting, from the group of artificial neural networks for image processing, artificial neural networks for image processing having different complexity to apply to two different frames of a video; and generating a high resolution frame by processing each frame of the video according to the selected artificial neural networks for image processing. A neural network for image processing according to one embodiment of the present disclosure may be a deep neural network generated via machine learning, and an input and output of the video may take place in an Internet of Things environment using a 5G network.

Growing community of inventors

Siheung-si, South Korea

Seung Hwan Moon