iPhone 11 Pro DEEP FUSION

Thai

Thai

Elite Member
I have an iPhone 11 Pro Max for the past 2 months. The camera system is just mind blowing! Smart HDR is better than last year. Night Mode is just about perfect in details and keeping the night ambiance.

BUT what impresses me the most is Deep Fusion. It works in medium to low light. (Smart HDR works in bright light; Night mode works in really low light.) Basically, DF works indoors. And indoors is where smartphone cameras traditionally fall apart. The small sensors on smartphone cameras are just not good indoors. Smudgy (or no) details. Smearing. Useless basically...until now.

But Deep Fusion makes indoor pics pretty damn good. How does it work? See: Inside Apple's Deep Fusion, the iPhone 11 and Pro's computational photography feature

Short summary: Before you press the shutter button it’s already shot four short images and four secondary images, when you press the shutter button it takes one long exposure, and in just one second the Neural Engine analyses the combination and selects the best among them.

In that time, Deep Fusion on your A13 chip goes through every pixel on the image (all 24 million of them) to select and optimize each one of them for detail and noise – all in a second.

End result: copious amounts of image detail, impressive dynamic range and very low noise. Remember, you get all this in less than ideal lighting environment!
 
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So, here are a few Youtube examples that really shows the separation of 11 Pro Deep Fusion vs. other smartphones:

<iframe width="560" height="315" src="https://www.youtube.com/embed/nDbkCYLuXLI" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/jiNUWb1w5vc?start=102" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/dlynl00Vd1Y?start=138" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/4MoIisI1Iy0?start=343" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/gjiqbl1N22o?start=46" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/YlD8yPLhx_s" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
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This is the best explanation of DF to date for me: (from Digital Trends)

Much like Apple’s Smart HDR, Deep Fusion relies on object and scene recognition, as well as a series of eight images captured before you click the shutter button.

Of the eight images, four are taken with standard exposure, and four with short exposure. A ninth picture is then taken with a long exposure when the shutter button is triggered. The short exposure shots are meant to freeze time and bolster high-frequency details like grass blades or stubble on a person’s face. Therefore, the sharpest image of this series is chosen to move on to the next step.

Three of the standard-exposure shots which display the best color, tones, and other low-frequency data are then fused with the long-exposure frame to compose a single image. This image and the sharpest short-exposure frame are then sent through neural networks, which choose between these two images (my edit: 12 MP + 12 MP = 24 million pixels analysis) for the best pixel to ultimately represent this photo. This pixel-by-pixel analysis enhances your images by ultimately minimizing noise, sharpening details, and accurately coloring your photos, doing so on a very granular and intelligent level.

All of the post-shutter processing is done behind the scenes, so it won’t impact your photo capture time. In other words, you can still snap back-to-back photos just as quickly as you ever could on the iPhone, and if they’re all using Deep Fusion, they’ll simply be queued up in the camera roll to be processed in order.

deepfusion-191206-1200x9999.png
 
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More comparo:

<iframe width="560" height="315" src="https://www.youtube.com/embed/ZpC43k5CTsw" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

<iframe width="560" height="315" src="https://www.youtube.com/embed/-OlZ0f0bwy0?start=343" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
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Anandtech has this to say about the processor:

Apple’s A13 this year brought big improvements in performance, although not exactly visible at first-glance in benchmarks. On the CPU side, the new Lightning cores were relatively straightforward upgrades in performance, but it did come at a cost in power consumption which keeps creeping up with every new A-series SoC. Power efficiency however still remains excellent, and I think that’s mostly due to the new Thunder efficiency cores which saw a very large microarchitectural upgrade in performance and efficiency. Apple’s yearly upgrades on the efficiency cores put the aging Cortex-A55s to shame in terms of performance and power, and the Android SoC vendors are very much in a dire need of an IP upgrade from Arm.

On the GPU side of things, Apple has also been hitting it out of the park; the last two GPU generations have brought tremendous efficiency upgrades which also allow for larger performance gains. I really had not expected Apple to make as large strides with the A13’s GPU this year, and the efficiency improvements really surprised me. The differences to Qualcomm’s Adreno architecture are now so big that even the newest Snapdragon 865 peak performance isn’t able to match Apple’s sustained performance figures.

It’s no longer that Apple just leads in CPU, they are now also massively leading in GPU.

Battery and camera improvements are what makes the iPhone 11 outstanding phones. Apple has finally opted to integrate bigger battery capacities this year, and along with Samsung’s flagships, these are amongst the longest lasting devices in 2019. Apple’s triple-camera setup is fantastically executed, and offers one of the best shooting experiences in 2019. Apple still has to work on the quality of its ultra-wide-angle module, but everything else is class-leading.
 
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I was into photography when it was film, then digital with a high end SLR cameras when they first started coming out. All this fancy image processing happening now is pretty amazing. It used to all be done manually, by either bracketing exposure and post processing in software.

The image processing software is so advanced these days it kind of takes some of the magic out of what it used to take to make these types of images. Just point and shoot. Everyone can be a professional now.

Optically you can beat a big lens, but still, pretty amazing what is packed into a phone by old professional standards.
 
11 pro max is the best camera, i love it.

<a href="https://ibb.co/WyhmXmB"><img src="https://i.ibb.co/gT2k8kt/IMG-3516-1.jpg" alt="IMG-3516-1" border="0"></a>
 
Thai said:
I have an iPhone 11 Pro Max for the past 2 months. The camera system is just mind blowing! Smart HDR is better than last year. Night Mode is just about perfect in details and keeping the night ambiance.

BUT what impresses me the most is Deep Fusion. It works in medium to low light. (Smart HDR works in bright light; Night mode works in really low light.) Basically, DF works indoors. And indoors is where smartphone cameras traditionally fall apart. The small sensors on smartphone cameras are just not good indoors. Smudgy (or no) details. Smearing. Useless basically...until now.

But Deep Fusion makes indoor pics pretty damn good. How does it work? See: Inside Apple's Deep Fusion, the iPhone 11 and Pro's computational photography feature

Short summary: Before you press the shutter button it’s already shot four short images and four secondary images, when you press the shutter button it takes one long exposure, and in just one second the Neural Engine analyses the combination and selects the best among them.

In that time, Deep Fusion on your A13 chip goes through every pixel on the image (all 24 million of them) to select and optimize each one of them for detail and noise – all in a second.

End result: copious amounts of image detail, impressive dynamic range and very low noise. Remember, you get all this in less than ideal lighting environment!
Click to expand...


Yep it IS the $hi+.

We have them. Best iPhones ever. I don't need charge mine during the day and the pictures in low light are nothing less than specular.
 
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<iframe width="560" height="315" src="https://www.youtube.com/embed/giYZRi0iN5s" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 
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How about this accomplishment...iPhone 11 Pro...over 5 hours of CONTINUOUS 4K video capture...ONE take...one battery life (no charging needed).

Quick summary:

<iframe width="560" height="315" src="https://www.youtube.com/embed/aLLsmJfvixM" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Actual 5+ hours video:

<iframe width="560" height="315" src="https://www.youtube.com/embed/49YeFsx1rIw" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

:first:
 
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