Google is working on a new RawNeRF tool to outperform deep raw denoisers in low-light environments. This will change the night photography.
Photographers no longer have to worry about low light while taking their best shots. Google is working on a new AI image noise reduction technology that will help photographers see effectively in the dark. Basically, it can change the way you shoot in low light. This new Google research revealed exciting technology that uses artificial intelligence to reconstruct a dark scene with powerful noise removal. Google Research called this new AI noise reduction tool RawNeRF under its open source project known as MultiNeRF.
Google’s tool called RawNeRF is said to have unprecedented denoising power that can read images to add higher levels of detail in low-light environments. The team behind the project claims that it works better than any other noise reduction tool. This tool can be a game changer in night photography, he added.
How Google’s NeRF tool will help in low light photography
The researchers explained in a Cornell University paper: “Neural Radiance Fields (NeRF) is a technique for the synthesis of high-quality novel views from a collection of posed input images. Like most view synthesis methods, NeRF uses a tone-mapped low dynamic range (LDR) as input; These images have been processed by a lossy camera pipeline that smooths out details, crops out highlights, and distorts the simple noise distribution of the raw sensor data.”
So this new tool not only works as a noise remover, but can also be used to manipulate camera position, scene view, focus, exposure, and tone mapping after the fact. In a video demonstration by a researcher, Ben Mildenhall showed the use of NeRF in the dark. Mildenhall picks up a cell phone lit only by candlelight.
He used a smartphone photo of a candlelit table to demonstrate how the RawNeRF tool can help make low-light photography effective. It used minimal post-processing and brightening while bringing the final image with more detail. “Although a single raw image appears significantly noisier than a post-processed one, we show that NeRF is highly resistant to the zero-mean distribution of raw noise,” the researchers explained.
However, the tool is still in the research phase, but it will be exciting to see this Google AI technology being used with our everyday devices in the future.