What are the advantages and difficulties of introducing AI into ISP Technology

Now? AI Technology has made great progress , Computing power is becoming cheaper and cheaper , Software and ecology are becoming more and more mature . So the AI The introduction of ISP technology , What are the advantages and difficulties ？

One 、AI ISP Advantages

Image tuning is intelligent , Tuning time is greatly reduced , There is no need for many professionals to devote themselves to this work , Effectively improve labor productivity .

Combine computing power with big data , It adds another piece to the traditional image quality limit , Many parameter balances used to be like a springboard , Now the whole picture can be segmented more finely through intelligent recognition , Configure according to different scenes and objects , It has broken through many previous limits of image quality .

Once the camera was deployed , Basically, the ability is fixed .AI Of ISP After deployment , Will continue to be based on the scene 、 Supplementary data for further learning , Cameras will become more and more intelligent . This is AI Of ISP Compared with tradition ISP Significant advantages .

Two 、AI The introduction of ISP Technical difficulty

First, in the algorithm ,AI ISP Based on the image quality to have PQ Tuning experience , Have many years of ISP Iterative experience can be its basis . second , There must be AI The data needed for pattern recognition 、 Support for model extraction . Third , Must have a certain amount of computing power . Terminal as a scene , The cost is limited , Power consumption is limited , There is a certain limit to the volume . Complete specific functions 、 In a particular scenario , When the computational power consumed is small , Design is better . In these three aspects , Must have profound accumulation , In order to develop AI ISP Lay a good foundation for Technology .