Phone cameras can capture more light than the human eye – that's why low-light events just like the Northern Lights often look higher through your phone camera

Smartphone cameras have improved significantly lately. Using computational photography and AI, these devices can capture stunning images that may surpass what we see with the naked eye. A very striking example are photos of the Northern Lights or Aurora Borealis.

If you saw the Northern Lights whilst you were there the geomagnetic storms in May 2024You can have noticed that the photos in your smartphone look much more vibrant than in point of fact.

Northern lights, also called northern lights (Aurora borealis) or southern lights (Aurora australis), occur when the solar wind disrupts the Earth's magnetic field. They appear as streaks of color within the sky.

Two images of the Northern Lights, the left one labeled
The left side shows the aurora borealis as seen with the naked eye. The right side shows how a smartphone camera can capture brighter and more colourful lights.
Douglas Goodwin

What makes photos of those events much more impressive than they seem at first glance? As a Professor of computational photographyI've seen the newest smartphone features overcome the boundaries of human vision.

Your eyes at the hours of darkness

Human eyes are remarkable. They will let you see footprints in a sunlit desert and control vehicles at high speeds. However, your eyes are less impressive in low light.

The human eye comprises two types Cells that reply to light – Rods and cones. There are quite a few rods and way more light sensitive. Cones process color but require more light to operate. As a result, our vision relies heavily on rods at night and misses colours.

A diagram of a human eye with a magnified view of the rod and cone receptors.  The rods are cylindrical while the cones are conical.
Rods and cones in your eyes are photoreceptors that process each black and white and color.
Blume, C., Garbazza, C. & Spitschan, M., CC BY-SA

The result’s like wearing dark sunglasses while watching a movie. At night, the colours appear washed out and muted. Even under a starry sky, the sensible hues of the aurora are present, but often too faint on your eyes to see clearly.

In poor lighting conditions, your brain prioritizes Motion detection and shape detection to enable you navigate. This compromise implies that the aurora's ethereal colours are sometimes invisible to the naked eye. Technology is the one approach to increase their brightness.

Taking the proper picture

Smartphones have revolutionized the way in which people perceive the world. These compact devices use multiple cameras and advanced sensors to capture more light than the human eye, even in low-light conditions. You can achieve this by utilizing longer exposure times – how long the Camera captures light – larger apertures and increasing the ISO Amount of sunshine Your camera allows it.

But smartphones can do greater than just adjust these settings. They also use Computational photography to boost your images with digital techniques and algorithms. Image stabilization Reduces camera shake and exposure settings optimize the quantity of sunshine the camera captures.

Multi-image processing Creates the proper photo by stacking multiple images on top of one another. A setting called Night mode can balance colours in low light, while LiDAR functions Some phones keep your images precisely focused.

A diagram showing a stack of grainy images reduced to a clear image.
Image stacking involves aligning and mixing multiple noisy photos to enhance the standard of the ultimate image. By averaging these images together, random sensor noise is suppressed. This creates a clearer and more detailed image than the photos alone.
Douglas Goodwin

LiDAR stands for Light Detection and Ranging. Phones with this setting emit laser pulses to quickly calculate the gap to things within the scene in any variety of light. LiDAR generates a depth map of the environment to enhance focus and highlight objects in your photos.

Two pictures, the one on the left labeled “optical” and the one on the right labeled “depth” of a person dancing.  The “optical” image shows what the person in the photo would normally look like, while the “depth” image shows their silhouette in white against a black background.
In addition to taking flat images, smartphone cameras also capture depth information. The left side shows a standard photo, while the proper side shows the depth map, with brighter pixels closer to the camera and darker ones further away. Normally hidden, this depth data allows smartphones to use effects akin to artificial background blur to mimic the look of the Northern Lights against an evening sky.
Douglas Goodwin

Tools of artificial intelligence in your smartphone camera you possibly can further enhance your photos by tweaking the settings, applying flashes and using super-resolution techniques to get really effective details. You may even Identify faces in your photos.

AI processing in your smartphone's camera

While you’ve gotten many options with a smartphone camera, regular cameras have larger sensors and superior optics that provide you with more control over the pictures you capture. Camera manufacturers like Nikon, Sony and Canon Normally avoid manipulating the imageInstead, creative control is left to the photographer.

These cameras offer photographers the pliability of Shooting in RAW formatallowing you to retain more data from each image for editing and infrequently producing higher quality results.

not how dedicated camerasmodern smartphone cameras Use AI during and after You take a photograph to enhance the standard of your photos. As you are taking a photograph, AI tools analyze the scene you point the camera at and adjust settings like exposure, white balance, and ISO while recognizing the topic being captured and stabilizing the image. These tools be certain that you get an incredible photo whenever you press the button.

You can often find features that use AI, akin to High dynamic range, Night mode And Fashion portraitenabled by default or accessible in your camera settings.

AI algorithms further improve your photos by refining details, reducing blur, and applying effects akin to color correction after capture.

All of those features help your camera take photos in low light conditions and contribute to those stunning aurora photos you will have captured together with your phone camera.

While the human eye struggles to completely perceive the otherworldly hues of the Northern Lights at night, modern smartphone cameras overcome this limitation. By leveraging AI and computational photography techniques, your devices will will let you see the colourful colours of solar storms within the atmosphere, amplifying the colour and capturing otherwise invisible details that escape even the sharpest eye.

image credit : theconversation.com