MediaTek shares some mobile platform technical trends in game design and camera image processing | XFastest News

MediaTek has launched the Dimensity series of mobile platforms in the 5G era, with good performance and a number of innovative designs, especially for game graphics and camera images which are appreciated by modern users and will share some technologies with you.

Modern people are almost inseparable from smartphones – its convenience and data storage capabilities make it an excellent digital tool in modern life. With the evolution of various technologies, the functions of mobile phones have become more and more powerful and many of these functions are provided by the chipset or mobile platform used. Mobile platforms for today’s mobile devices are often introduced with processes, functional improvements, or major new specification changes.

MediaTek is currently one of the world’s leading mobile platform providers.When the world enters the age of 5G mobile communication, its Dimensity series mobile platforms feature computing, gaming, imaging, multimedia, communication technology, etc. innovative, providing consumers with different choices, and also the market share has a good performance.

ASUS ROG Phone 6D series mobile phones use MediaTek Dimensity 9000+ platform with excellent performance

In addition to high processing performance, modern user requirements for smartphones also have different requirements for camera image processing and gaming performance. The products launched by MediaTek have been used in high-end models of many mobile phone brands, such as Vivo’s flagship X80 videophone and Asus’ ROG Phone 6D gaming series mobile phones, both of which feature amazing performance.

Technology trends for flagship mobile GPUs

With the popularity and performance of mobile games, the graphics performance of mobile phones has also greatly improved. Faced with the trend of cloud-to-mobile gaming technology, how to overcome computing power, GPU architecture and temperature limits has always been at the heart of chip design. The characteristics of mobile GPUs are classified as energy efficiency oriented, performance oriented and super computing power oriented. Usually, the energy efficiency orientation is chosen as the main goal to meet the battery life needs of the mobile platform, so try to overlap the performance to improve the computing power.

Mobile ray tracing technology will gradually roll out to a variety of different applications

Last year, MediaTek predicted the application of global lighting technology, and this year boldly predicted that as GPU development progresses, the application scope of ray tracing technology will continue to expand. After the release of the vulkan 1.3 standard in January of this year, the ray tracing standard was officially incorporated, which also means that the import speed of ray tracing technology and application types in the GPU related fields will be accelerated. . Mobile ray tracing technology is no longer unique to gaming consoles or PCs, and the same experience is gradually developing rapidly for cell phones, operating system interfaces, AR, VR, metaverse and other fields.

What is needed to implement mobile ray tracing technology

However, mobile GPUs must simultaneously pursue quality and overcome resource constraints.In future flagship GPU technology, ray tracing will be an indispensable technology for rendering more natural and immersive images. 64-bit processing and dynamic tuning load reduction technology achieved in collaboration with the ecosystem are technologies needed to improve resource efficiency.

Realistic experience with hardware-accelerated mobile ray tracing

The graphics processor in the mobile platform adopts Arm Immortalis-G715’s latest flagship GPU, capable of supporting hardware-level mobile ray tracing and more complex and realistic scene applications, delivering more realistic and immersive applications such as games for mobile devices Sense of use experience. Hardware acceleration can achieve real-time ray-tracing effects, including soft shadows, reflection effects and global lighting, etc., which can improve the quality of various scenes and become a must-have technical equipment for flagship models.

MediaTek Launches Mobile GPU Efficiency Solution

In response to the development trend of mobile games and other applications, MediaTek has launched a mobile GPU efficiency improvement solution, with the aim of improving GPU performance and matching GPU peripheral technologies to achieve the balance of system resources and meet the complexity content processing needs. It will develop in different directions such as performance and energy efficiency improvement, ecological development, platform software improvement and self-developed algorithms.

Flagship phones will use digital TV image processing to enhance viewing

Smartphones use artificial intelligence to speed up image processing

The camera function is one of the mobile phone functions that more and more people pay attention to.In addition to the image sensor and lens optics, the use of different algorithms or artificial intelligence to improve image performance has also become the core of the development of new modern mobile phones. Today’s flagship TV chips use partitioned image processing instead of single-frame full-frame image processing, providing a more detailed picture quality enhancement. With artificial intelligence and regional image enhancement processing technology, it can quickly and save energy to present delicate picture quality.Therefore, it will be the future development trend to apply digital TV image processing technology to the display and to the camera fields of cell phones.

Application of semantic image segmentation to accelerate processing using artificial intelligence

Applying artificial intelligence semantic image segmentation processing can also reduce system load

Adjusting image quality through artificial intelligence is also at the heart of the development. AI image semantics is an important part of understanding image in image processing and machine vision technology. Through powerful artificial intelligence, it can identify the displayed content over time and cut the image into For different objects, according to the characteristics of the main body and the background of the object, the optimal contrast and sharpening effects are respectively improved . The AI ​​image semantic segmentation function is imported, which can effectively help the system understand the image content and achieve natural and optimal image processing.

In the future, mobile phones will have better processing effects for both videos and photos

The use of AI image semantic segmentation can not only perform local image enhancement or special effects processing for different objects, reduce the amount of computation required, reduce power consumption, but also overlay multiple algorithms to quickly improve the image effect.It is an important tool for cell phone imaging technology.

In the future, new smartphones will be able to use technologies such as artificial intelligence to provide better image processing capabilities and deliver more realistic images.