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Xiaomi Redmi Note 13 Pro+ phone today fully pushes E2E image technology, combined with Samsung depth adjustment

Shulou Source: shulou.com Published: 2023-11-24 22:00:55 10月01日 Update

CTOnews.com November 14 news, Xiaomi Redmi officially announced that Redmi Note 13 Pro+ phones today fully push E2E, in conjunction with Samsung in-depth training.

The machine has a rear 200MP main camera, equipped with Samsung S5KHP3 image sensor, fuses millet image brain algorithm, supports 200 megapixel straight out, and the resolution of a single photo can reach 16320 x 12240.

CTOnews.com inquiries learned that E2E is Samsung's end-to-end AI Remosaic technology for still photography of 200MP sensors, which was officially announced on November 8.

At present, after the 200MP photosensitive element takes pictures, the image processing steps are as follows: original data output, array conversion processing, image signal processing (ISP), and finally output JPEG image. In this process, all the steps are carried out in order.

E2E AI Remosaic optimizes the process while performing array conversion and ISP. In other words, E2E AI Remosaic adopts a parallel process to reduce the conversion delay by half, resulting in faster image processing speed, shorter imaging time, and improved picture quality performance, so that users can finish shooting and viewing photos faster, and reduce the impact on picture quality caused by data loss caused by delay. Therefore, the photos taken will have more details and colors.

In addition, Samsung also launched a video recording function ISOCELL Zoom Anyplace for 200MP sensors, which allows the camera to quickly lock a moving subject and track it all the way. Even if the subject moves quickly, his figure can be maintained in the picture. In addition, the picture jitter can also be improved.

Tags: Image Samsung processing shooting sensor photo millet technology at the same time official data faster step process picture quality picture array mobile output depth Apple Docker Huawei Linux macOS MariaDB Microsoft MySQL NVidia OPPO Reno Redmi Huawei Docker Xiaomi MariaDB