How to imitate iPhone results with a real camera

[multivoiced]

What kinds of cameras can most closely replicate the characteristics of pictures captured with iPhone?

Imagine a blind "taste test" that forces an audience to distinguish pictures from a phone from pictures from a camera. How could one make it hard to tell? Shorter focal lengths? Single-lens reflex or mirrorless? JPEG or RAW? Newer or older gear?

 

[_T_]

The newest iPhone has the full frame equivalent of a 26mm f/1.2, 13mm f/2.2, and some have a 100mm f/2.8, so the first step in mimicking the look of an iPhone would be to find lenses with those, or equivalent specs.

The next step would be to process the files in a similar way to what iOS automatically does to all the pictures an iPhone takes. This could be pretty difficult as only Apple knows what exactly is being done to the images, and whatever camera you use is also doing some kind of processing to all your images that only the manufacturer of your camera knows the specifics of.

So unless you take every photo with both your camera and an iPhone it would be nearly impossible to guess what the final image should look like, and even if you did that it might be difficult to match the images with the kind of software that is available to consumers. And then if you did take the photos with both an iPhone and your camera, why not just use the photo from the iPhone since it already looks exactly like what you’re trying to get?

 

[koraks]

Short focal lens, HDR. Boost saturation a little. Use the smallest sensor you can find to get lots of depth of field - or a larger sensor but you'll have to stick with very small apertures.

I think iPhone photos overall are pretty good btw.

 

[Kilgallb]

You need a device to sense you are are pointing your camera at the the North sky while news reports say there is high sunspot activity then invoke the filter that makes the processing invoke the Northern Lights filter.

Apple really does this.

 

[IpseLux]

This is a bit lengthy…. But might serve as a step in creating what you want, or at least knowing how Apple does it.
I know the normal lens of the smart phone generation is significantly wider than 50mm on 35mm film, more like 28mm.
Anyhow:

(AI output)

“Deep Fusion is Apple’s proprietary computational photography technology designed to maximize image texture, fine detail, and noise reduction in medium-to-low light environments. Originally introduced with the iPhone 11 series, Apple executives famously described it as "computational photography mad science"because of how aggressively it relies on machine learning rather than just the physical camera lens.

How Deep Fusion Works Behind the Scenes
Deep Fusion does not just take one picture; it uses advanced machine learning models via the iPhone’s Neural Engine to execute a highly complex, multi-frame stacking process in roughly one second:

1. Continuous Pre-Buffering: Before you even tap the shutter button, the camera app is constantly capturing images in a loop. It holds four short-exposure frames and four standard-exposure framesin its temporary memory.
2. The Shutter Press: The exact moment you press the shutter, the camera captures one final long-exposure frame to gather deeper shadow data.
3. Neural Network Selection: The Neural Engine analyzes the stack of nine photos. It selects the absolute sharpest short-exposure frame to preserve motion and detail, and blends the three best standard exposures with the long exposure.
4. Pixel-by-Pixel Fusion: The system runs the combined data through four distinct neural networks. It goes through all 24 million pixels of the raw image data one-by-one to decide whether to draw detail from the short exposure or the long exposure.
5. Subject Segmentation: The algorithm identifies specific objects in the frame. It handles skin tones, hair, and clothing fabric differently than it handles skies or walls, artificially generating hyper-crisp textures where humans expect to see detail.

When Does It Actually Trigger?
Deep Fusion is completely invisible and cannot be toggled on or off manually in the native camera app. The phone automatically chooses between three primary modes based on the lighting environment and the lens you are using:

• Smart HDR: Triggers in bright, daylight conditions.
• Deep Fusion: Triggers in medium-to-low light environments (e.g., indoor rooms, cloudy days, or evenings).
• Night Mode: Triggers automatically when the scene becomes too dark for Deep Fusion to manage safely without severe noise.

How to Replicate It on a DSLR
Because Deep Fusion is doing complex pixel-level arithmetic, you cannot duplicate it on a DSLR simply by twisting a dial. To mimic the texture look of Deep Fusion, you have to recreate its workflow manually in post-production software:

• Exposure Stacking (Bracketing): Set your DSLR to use "Auto Exposure Bracketing" (AEB) to take 3 to 5 rapid shots at varying exposures, then merge them as an HDR photo in Adobe Lightroom to capture that massive dynamic range.
• Texture & Clarity Tuning: Deep Fusion heavily favors fine texture (like the weave of a sweater or individual hair strands). In Lightroom, use the Texture and Clarity sliders, or use masking brushes to apply sharpening only to faces, hair, and clothes while leaving backgrounds smooth.
• Luminance Denoising: Deep Fusion analyzes noise pixel-by-pixel. Apply a subtle amount of AI Noise Reduction in your editing software to clean up shadow grain without destroying the sharpness of your edges”

Quite a lot of tech, huh?