BOE developed and launched 8K+AI ultra-high-definition video image technology solutions

The classic film and television images carry the memories of a generation. However, as time flies, blurs, scratches, noise...have dusted the picture in memory. In recent years, the rapid development of artificial intelligence technology has brought new vitality to video works.


BOE Technology Innovation Center has developed and launched an 8K+AI ultra-high-definition technology solution, and based on a unique ultra-high-definition algorithm model, it effectively solves the problems of image clarity, color, and smoothness. It has been realized as a professional customer of Beijing TV Station, Guangdong TV Station, etc. Provide AI repair services that meet the ultra-high-definition standard, deeply empowering the ultra-high-definition display field.


BOE Technology Innovation Center's 8K+AI ultra-high-definition technology has a wealth of technology accumulation in the field of image and video processing and can be customized for different scene needs. With existing equipment, the automated process of BOE AI restoration can increase the efficiency of image restoration by 2-3 times and reduce labor costs by more than 50%.


BOE’s 8K+AI ultra-high-definition technology solution intelligently improves the image resolution, "one image, one set of parameters" adaptive monitoring, and uses 8K+AI ultra-high-definition technology to repair "old photos", with very powerful performance.


BOE stated that taking the restoration of historical photos of the "Forbidden City" as an example, some photos are more than 100 years old, with low resolution and uneven quality of each photo, which poses great challenges.


In response to these difficulties, the idea of ​​"first overall and then partial" was adopted, and the super-resolution technology of the BOE Technology Innovation Center was first used to adaptively stretch the resolution of the image to obtain a high-resolution image. Through the "one image, one set of parameters" method, the image processing process is adaptively monitored to solve the problem of not fixed parameters. Regarding face processing, the face will be positioned and targeted details will be improved.

Specifically, it uses a multiple reverse recursive deep network, which can increase low-resolution images by multiple levels and can achieve a maximum of 16 times stretching, which can be converted into high-resolution images from 4K to 8K. The picture is magnified without loss. At the same time, through GAN (antagonistic generative network, a machine learning architecture), it intelligently supplements image pixel details and takes into account the effects from macro to micro, making the generated images more realistic and natural.


The multiple reverse recursive deep network is an algorithm model based on deep learning. It learns the characteristic parameters of the image through hundreds of layers of brain neural networks. The stretched image is compared with the original input low-resolution image, which is beneficial to enhance the accuracy of the stretched image and greatly reduce the loss of image features. It has the advantages of small system memory, fast image processing speed, and image stretching visual effects. Good to wait for the advantages.


In addition, color enhancement technology has been able to intelligently color black and white photos, further shortening the distance between the audience and history.


Compression distortion repair technology + AI HDR color correction algorithm, so that the video repair effect is better. The effect of applying 8K+AI ultra-high-definition technology to improve video quality is also amazing.


When improving the video quality, if you simply brighten the dark part according to the traditional idea, it will cause the noise and compression block in the dark part to be more obvious. In this regard, BOE has adopted compression distortion repair technology to effectively suppress the noise interference in the dark part of the video.


In addition, BOE has designed an HDR intelligent color grading algorithm model. Through effective learning of colorists’ HDR grading experience, it forms a grading model pool that can adapt to different scenes, and adaptively performs HDR up-conversion and different styles of ultra-high-definition videos. Intelligent color creation. Through intelligent HDR color grading, ultra-high-definition video can be extended to the HDR standard and BT.2020 color gamut, and full use of the color gamut for color remapping, effectively improving the rich colors and levels of the video image, and improving the contrast between light and dark. And it makes the color expression more full, and the detail expression is richer.


BOE Technology Innovation Center's 8K+AI ultra-high-definition technology has also been successfully applied in the field of culture and expo. On the one hand, 8K+AI technology can effectively restore the art materials in ultra-high definition, making the materials more plastic; on the other hand, through BOE’s super-performing ultra-high-definition display products, the display of cultural relics is more humane and helps the audience to understand the cultural relics in depth. The cultural value behind.


At present, BOE has provided a wealth of digital display solutions for the museum industry, including the Palace Museum, to make artworks "live" and full of vitality.

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