Photography
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As impressive as the cameras in our smartphones are, they’re fundamentally limited by the physical necessities of lenses and sensors. Metalenz skips over that part with a camera made of a single “metasurface” that could save precious space and battery life in phones and other devices… and they’re about to ship it.
The concept is similar to, but not descended from, the “metamaterials” that gave rise to flat beam-forming radar and lidar of Lumotive and Echodyne. The idea is to take a complex 3D structure and accomplish what it does using a precisely engineered “2D” surface — not actually two-dimensional, of course, but usually a plane with features measured in microns.
In the case of a camera, the main components are of course a lens (these days it’s usually several stacked), which corrals the light, and an image sensor, which senses and measures that light. The problem faced by cameras now, particularly in smartphones, is that the lenses can’t be made much smaller without seriously affecting the clarity of the image. Likewise sensors are nearly at the limit of how much light they can work with. Consequently, most of the photography advancements of the last few years have been done on the computational side.
Using an engineered surface that does away with the need for complex optics and other camera systems has been a goal for years. Back in 2016 I wrote about a NASA project that took inspiration from moth eyes to create a 2D camera of sorts. It’s harder than it sounds, though — usable imagery has been generated in labs, but it’s not the kind of thing that you take to Apple or Samsung.
Metalenz aims to change that. The company’s tech is built on the work of Harvard’s Federico Capasso, who has been publishing on the science behind metasurfaces for years. He and Rob Devlin, who did his doctorate work in Capasso’s lab, co-founded the company to commercialize their efforts.
“Early demos were extremely inefficient,” said Devlin of the field’s first entrants. “You had light scattering all over the place, the materials and processes were non-standard, the designs weren’t able to handle the demands that a real world throws at you. Making one that works and publishing a paper on it is one thing, making 10 million and making sure they all do the same thing is another.”
Their breakthrough — if years of hard work and research can be called that — is the ability not just to make a metasurface camera that produces decent images, but to do it without exotic components or manufacturing processes.
“We’re really using all standard semiconductor processes and materials here, the exact same equipment — but with lenses instead of electronics,” said Devlin. “We can already make a million lenses a day with our foundry partners.”
The thing at the bottom is the chip where the image processor and logic would be, but the meta-optic could also integrate with that. The top is a pinhole. Image Credits: Metalenz
The first challenge is more or less contained in the fact that incoming light, without lenses to bend and direct it, hits the metasurface in a much more chaotic way. Devlin’s own PhD work was concerned with taming this chaos.
“Light on a macro [i.e. conventional scale, not close-focusing] lens is controlled on the macro scale, you’re relying on the curvature to bend the light. There’s only so much you can do with it,” he explained. “But here you have features a thousand times smaller than a human hair, which gives us very fine control over the light that hits the lens.”
Those features, as you can see in this extreme close-up of the metasurface, are precisely tuned cylinders, “almost like little nano-scale Coke cans,” Devlin suggested. Like other metamaterials, these structures, far smaller than a visible or near-infrared light ray’s wavelength, manipulate the radiation by means that take a few years of study to understand.
The result is a camera with extremely small proportions and vastly less complexity than the compact camera stacks found in consumer and industrial devices. To be clear, Metalenz isn’t looking to replace the main camera on your iPhone — for conventional photography purposes the conventional lens and sensor are still the way to go. But there are other applications that play to the chip-style lens’s strengths.
Something like the FaceID assembly, for instance, presents an opportunity. “That module is a very complex one for the cell phone world — it’s almost like a Rube Goldberg machine,” said Devlin. Likewise the miniature lidar sensor.
At this scale, the priorities are different, and by subtracting the lens from the equation the amount of light that reaches the sensor is significantly increased. That means it can potentially be smaller in every dimension while performing better and drawing less power.
Image (of a very small test board) from a traditional camera, left, and metasurface camera, right. Beyond the vignetting it’s not really easy to tell what’s different, which is kind of the point. Image Credits: Metalenz
Lest you think this is still a lab-bound “wouldn’t it be nice if” type device, Metalenz is well on its way to commercial availability. The $10 million Series A they just raised was led by 3M Ventures, Applied Ventures LLC, Intel Capital, M Ventures and TDK Ventures, along with Tsingyuan Ventures and Braemar Energy Ventures — a lot of suppliers in there.
Unlike many other hardware startups, Metalenz isn’t starting with a short run of boutique demo devices but going big out of the gate.
“Because we’re using traditional fabrication techniques, it allows us to scale really quickly. We’re not building factories or foundries, we don’t have to raise hundreds of mils; we can use what’s already there,” said Devlin. “But it means we have to look at applications that are high volume. We need the units to be in that tens of millions range for our foundry partners to see it making sense.”
Although Devlin declined to get specific, he did say that their first partner is “active in 3D sensing” and that a consumer device, though not a phone, would be shipping with Metalenz cameras in early 2022 — and later in 2022 will see a phone-based solution shipping as well.
In other words, while Metalenz is indeed a startup just coming out of stealth and raising its A round… it already has shipments planned on the order of tens of millions. The $10 million isn’t a bridge to commercial viability but short-term cash to hire and cover upfront costs associated with such a serious endeavor. It’s doubtful anyone on that list of investors harbors any serious doubts on ROI.
The 3D sensing thing is Metalenz’s first major application, but the company is already working on others. The potential to reduce complex lab equipment to handheld electronics that can be fielded easily is one, and improving the benchtop versions of tools with more light-gathering ability or quicker operation is another.
Though a device you use may in a few years have a Metalenz component in it, it’s likely you won’t know — the phone manufacturer will probably take all the credit for the improved performance or slimmer form factor. Nevertheless, it may show up in teardowns and bills of material, at which point you’ll know this particular university spin-out has made it to the big leagues.
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Facebook first showed off its 3D photos back in 2018, and shared the technical details behind it a month later. But unless you had one of a handful of phones with dual cameras back then (when they weren’t so common), you couldn’t make your own. Today an update brings 3D photos to those of us still rocking a single camera.
In case you don’t remember or haven’t seen one lately, the 3D photos work by analyzing a 2D picture and slicing it into a ton of layers that move separately when you tilt the phone or scroll. I’m not a big fan of 3D anything, and I don’t even use Facebook, but the simple fact is this feature is pretty cool.

The problem is it used the dual-camera feature to help the system determine distance, which informed how the picture should be sliced. That meant I, with my beautiful iPhone SE, was out of the running — along with about a billion other people who hadn’t bought into the dual-camera thing yet.
But over the last few years the computer vision team over at Facebook has been working on making it possible to do this without dual-camera input. At last they succeeded, and this blog post explains, in terms technical enough that I’m not even going to attempt to summarize them here, just how they did it.
The advances mean that many — though not all — relatively modern single-camera phones should be able to use the feature. Google’s Pixel series is now supported, and single-camera iPhones from the 7 forward. The huge diversity of Android devices makes it hard to say which will and won’t be supported — it depends on a few things not usually listed on the spec sheet — but you’ll be able to tell once your Facebook app updates and you take a picture.
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Ever since the notch was first added to smartphones, everyone in the world except the deeply deluded and my editor have wished it gone. Oppo has done it — or at least shown that it can be done — with a demonstration unit at Mobile World Congress in Shanghai. iPhone users can console themselves that Oppo kind of sounds like Apple.
Oppo and Xiaomi both teased their upcoming under-screen cameras in recent weeks, but it’s one thing to put out a video and quite another to show a working model to the public. And Oppo’s device was unmistakably present in Shanghai.

Unfortunately, if you were hoping that the first device would knock it out of the park… not quite. Eyes-on photos and impressions from Engadget China show that the transparent LCD used to cover the camera assembly is, or can be, noticeably different from its surroundings. Of course the team there was trying to capture it, and from straight on when you’re not looking for it this effect may not be particularly pronounced. But it’s there.
The camera itself, since it loses a lot of incoming light to the LCD layer, has a larger sensor with bigger pixels on it to better capture that light. This suggests a lower resolution for the unit than other front-facing cameras, and obviously shooting through an extra layer will reduce sharpness and increase artifacting. Oppo says it is working on reducing these in software, but there’s only so much you can do. The sample photos don’t look so hot.
It’s not going to set the world on fire, but Oppo’s less visible camera is a step towards a notchless future, and that I can support. No word on when it’ll actually be available for purchase, or in what models — perhaps Xiaomi will take the opportunity to announce its under-screen camera with a few more of the relevant details.
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As a misanthrope living in a vibrant city, I’m never short of things to complain about. And in particular the problem of people crowding into my photos, whatever I happen to shoot, is a persistent one. That won’t be an issue any more with Bye Bye Camera, an app that simply removes any humans from photos you take. Finally!
It’s an art project, though a practical one (art can be practical!), by Do Something Good. The collective, in particular the artist damjanski, has worked on a variety of playful takes on the digital era, such as a CAPTCHA that excludes humans, and setting up a dialogue between two Google conversational agents.
The new app, damjanski told Artnome, is “an app for the post-human era… The app takes out the vanity of any selfie and also the person.” Fortunately, it leaves dogs intact.
Of course it’s all done in a self-conscious, arty way — are humans necessary? What defines one? What will the world be like without us? You can ponder those questions or not; fortunately, the app doesn’t require it of you.
Bye Bye Camera works using some of the AI tools that are already out there for the taking in the world of research. It uses YOLO (You Only Look Once), a very efficient object classifier that can quickly denote the outline of a person, and then a separate tool that performs what Adobe has called “context-aware fill.” Between the two of them a person is reliably — if a bit crudely — deleted from any picture you take and credibly filled in by background.
It’s a fun project (though the results are a mixed bag) and it speaks not only to the issues it supposedly raises about the nature of humanity, but also the accessibility of tools under the broad category of “AI” and what they can and should be used for.
You can download Bye Bye Camera for $3 on the iOS App Store.
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The new iPhones have some great new photography features, but the XR lacks a couple, for instance portrait mode for non-people subjects, owing to its sadly having only the one camera. So last year! Fortunately third-party camera app Halide is here to help you get that professional-looking bokeh in your doggo shots.
There’s more to this than simply the lack of a second camera. As you know, because you read my article, The future of photography is code — and the present too, really. What’s great about this is that features that might otherwise rely on specific hardware, a chip or sensor, can often be added in software. Not always, but sometimes.
In the case of the iPhone XR, the lack of a second camera means depth data is very limited, meaning the slack has to be taken up with code. The problem was that Apple’s machine learning systems on there are only trained to recognize and create high-quality depth maps of people. Not dogs, cats, plants or toy robots.
People would be frustrated if the artificial background blur inexplicably got way worse when it was pointed at something that wasn’t a person, so the effect just doesn’t trigger unless someone’s in the shot.
The Halide team, not bound by Apple’s qualms, added the capability back in by essentially taking the raw depth data produced by the XR’s “focus pixels” and applying their own processing and blur effect to make sure it doesn’t do weird things. It works on anything that can realistically be separated from the background — pets, toy robots, etc. — because it isn’t a system specific to human faces.
As they write in a blog post explaining some of this at length, the effect isn’t perfect, and because of how depth data is sent from the camera to the OS, you can’t preview the function. But it’s better than nothing at all, and maybe people on Instagram will think you shelled out for the XS instead of the XR (though you probably made the right choice).
The update (1.11) is awaiting Apple approval and should be available soon. If you don’t already own Halide, it costs $6. Small price to pay for a velvety background blur in your chinchilla pics.
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The new iPhones have excellent cameras, to be sure. But it’s always good to verify Apple’s breathless onstage claims with first-hand reports. We have our own review of the phones and their photography systems, but teardowns provide the invaluable service of letting you see the biggest changes with your own eyes — augmented, of course, by a high-powered microscope.
We’ve already seen iFixit’s solid-as-always disassembly of the phone, but TechInsights gets a lot closer to the device’s components — including the improved camera of the iPhone XS and XS Max.
Although the optics of the new camera are as far as we can tell unchanged since the X, the sensor is a new one and is worth looking closely at.
Microphotography of the sensor die show that Apple’s claims are borne out and then some. The sensor size has increased from 32.8mm2 to 40.6mm2 — a huge difference despite the small units. Every tiny bit counts at this scale. (For comparison, the Galaxy S9 is 45mm2, and the soon-to-be-replaced Pixel 2 is 25mm2.)
The pixels themselves also, as advertised, grew from 1.22 microns (micrometers) across to 1.4 microns — which should help with image quality across the board. But there’s an interesting, subtler development that has continually but quietly changed ever since its introduction: the “focus pixels.”
That’s Apple’s brand name for phase detection autofocus (PDAF) points, found in plenty of other devices. The basic idea is that you mask off half a sub-pixel every once in a while (which I guess makes it a sub-sub-pixel), and by observing how light enters these half-covered detectors you can tell whether something is in focus or not.
Of course, you need a bunch of them to sense the image patterns with high fidelity, but you have to strike a balance: losing half a pixel may not sound like much, but if you do it a million times, that’s half a megapixel effectively down the drain. Wondering why all the PDAF points are green? Many camera sensors use an “RGBG” sub-pixel pattern, meaning there are two green sub-pixels for each red and blue one — it’s complicated why. But there are twice as many green sub-pixels and therefore the green channel is more robust to losing a bit of information.
Apple introduced PDAF in the iPhone 6, but as you can see in TechInsights’ great diagram, the points are pretty scarce. There’s one for maybe every 64 sub-pixels, and not only that, they’re all masked off in the same orientation: either the left or right half gone.
The 6S and 7 Pluses saw the number double to one PDAF point per 32 sub-pixels. And in the 8 Plus, the number is improved to one per 20 — but there’s another addition: now the phase detection masks are on the tops and bottoms of the sub-pixels as well. As you can imagine, doing phase detection in multiple directions is a more sophisticated proposal, but it could also significantly improve the accuracy of the process. Autofocus systems all have their weaknesses, and this may have addressed one Apple regretted in earlier iterations.
Which brings us to the XS (and Max, of course), in which the PDAF points are now one per 16 sub-pixels, having increased the frequency of the vertical phase detection points so that they’re equal in number to the horizontal one. Clearly the experiment paid off and any consequent light loss has been mitigated or accounted for.
I’m curious how the sub-pixel patterns of Samsung, Huawei and Google phones compare, and I’m looking into it. But I wanted to highlight this interesting little evolution. It’s an interesting example of the kind of changes that are hard to understand when explained in simple number form — we’ve doubled this, or there are a million more of that — but which make sense when you see them in physical form.
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Tel Aviv-based Photomyne, an A.I.-powered app that helps you bring your old photo prints online, has been benefitting from the subscription app boom to the tune of $5 million in Series A funding. Today, the app is used by a million people every month, and 250,000 people pay the $20 annual subscription for the expanded service. This adds a handful of additional features, including the option to build a family website where all your photos are uploaded immediately after being scanned.
There is something of a limited lifetime for apps that convert physical media to digital – at some point, everyone who wants to transition their old media to the web will have done so. Another issue is that some people will make scanning photos a one-time project. They’ll then save all their photos to their own device and cloud storage, and cancel their subscription.
And as those users drop off, physical media will continue to die out.
For those reasons, Photomyne will eventually need to expand into other areas – perhaps scanning other things beyond photos. As it has a couple of patents for things like scanning business cards, documents, and sticky notes, it’s clearly thinking about this, too.
But in the meantime, there’s still an audience of self-appointed family historians, who are making old photos available to their extended families, as well as older folks who grew up in the pre-smartphone era and now want to bring their memories online, too.
By leveraging A.I. technology which runs locally, in real-time, on mobile devices, Photomyne is able to speed up the fairly tedious process of photo scanning using a handheld device. That is, instead of having to focus on one photo – as with Google’s PhotoScan, for example – Photomyne lets you scan multiple photos in a single shot as you flip through the pages of old albums.
It then breaks those up into individual photos by auto-detecting the boundaries.
It also auto-rotates sideways photos, crops the photos, corrects the photo perspective, and saves them in a digital album where you can further filter them, share, or – with the subscription – save locally, backup to the cloud, sync to other devices, or publish to a family website.

The ability to scan more photos in one shot makes the app appealing to those who want to upload their entire collection of old photos to the web, instead of picking and choosing specific photos to import.
In addition, the app’s A.I.-based technology improves over time the more you use it, says Photomyne’s co-founder and CFO Yair Segalovitz.
And soon, the company plans to roll out other advanced features, too, he notes.
“We are focused on a new set of exciting features that we expect to release in the very near future. We intend to offer automatic color correction – such as fixing color decay – and the ability to search interesting photos in our 70 million-plus photo archive,” says Segalovitz.
To date, Photomyne has been downloaded 7 million times and is largely used in the U.S. and in Western Europe, though it’s starting to see growth in China, too.
The Series A round was led by Luxembourg-based Maor, a co-investment tech fund from Philippe Guez and Eric Elalouf. It also included participation from Israeli investors and others from its seed round a couple of years ago.
With the new funding, the company plans to expand its team of 16 to around 25 and scale the business in Japan and South East Asia, in particular.
Photomyne is a free download on iOS and Android, but the full range of feature is only available to subscribers.
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The pixel-peepers at DxOMark have shared some of the interesting metrics and techniques they use to judge the quality of a smartphone’s artificial bokeh, or background blur in photos. Not only is it difficult to do in the first place, but they have to systematize it! Their guide should provide even seasoned shooters with some insight into the many ways computational bokeh varies in quality. Read More
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Google’s changes to the Pixel cameras are mostly on the software side, but they gain some excellent additional abilities, including a new Portrait mode, as well as optical image stabilization to complement Google’s digital anti-shake for photos and video. Google spent a lot of time during its presentation crowing about the Pixel 2 (and Pixel 2 XL, since their cameras are the… Read More
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If you’re a pet owner who uses Google Photos, you’ve probably typed in “dog” or “cat” before in order to surface photos of your furry pal – like anytime someone asks you about your pet, for example, which clearly means they would like to see a picture of Mr. Fluffypants. Today, Google is introducing an easier way to aggregate your pet photos in its… Read More
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