Infinix unveils 108MP AI-Powered Deep Learning Algorithm for mobile photography


Infinix has announced a strategic partnership with Samsung Electronics’ System LSI Business for joint optimization.

They introduced the world’s first 108MP AI-Powered Advanced Deep Learning Algorithm (AIADLA), using Samsung ISOCELL’s image sensor software algorithms to enhance mobile photography.

AIADLA Technology for Mobile Photography

This technology aims to significantly improve mobile imaging by offering better clarity, detail, and performance in low light.

The AIADLA surpasses traditional image enhancement methods by employing Samsung’s deep learning algorithms for noise reduction and detail improvement.

This ensures high-resolution, clear, and vibrant images even in challenging long-range conditions, allowing users to crop and adjust photos without losing quality. It also reduces noise and distortion in low light, producing high-quality photos in various settings.

The AIADLA uses a pre-trained image database for calibration and Samsung’s ISOCELL sensor technology to improve adaptability and image quality across different conditions, bridging the gap between professional and mobile photography, according to Infinix.

Availability

Infinix’s AIADLA technology will be featured in their upcoming smartphone models, which are set to be released soon.

Speaking about the partnership, Weiqi Nie, Head of Product at Infinix, said:

The collaboration with Samsung’s System LSI Business will transform mobile photography. Leveraging AI and deep learning, we’re enabling users to capture exceptional, professional-quality images right from their smartphones.

Commenting about the partnership, Seongwook Song, Master of the System LSI Sensor Architecture Team at Samsung Electronics, said:

Our collaboration with Infinix has led to the creation of the AI-Powered Advanced Deep Learning Algorithm, utilizing our advanced ISOCELL deep learning technology. Together, we are advancing mobile imaging, allowing users to produce content with exceptional quality and visual impact.