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#project-indigo — Public Fediverse posts

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  1. On the occasion of Belgium‘s National Day on 21 July, I visited the Palace of the Nation, the Belgian Federal Parliament. All photos were taken with the Project Indigo app, a new camera app from Adobe for iOS. #Belgium #NationalDay #21July #be2107 #ProjectIndigo

    pixelfed.social/p/librarianbe/

  2. On the occasion of Belgium‘s National Day on 21 July, I visited the Palace of the Nation, the Belgian Federal Parliament. All photos were taken with the Project Indigo app, a new camera app from Adobe for iOS. #Belgium #NationalDay #21July #be2107 #ProjectIndigo

    pixelfed.social/p/librarianbe/

  3. While Project Indigo is still very much in alpha, it does result in some excellent photos over the iPhone stock camera.
    Taken at the #EdenProject yesterday
    #Photography #eden #nature #adobe #projectIndigo #iphone #apple

  4. While Project Indigo is still very much in alpha, it does result in some excellent photos over the iPhone stock camera.
    Taken at the #EdenProject yesterday
    #Photography #eden #nature #adobe #projectIndigo #iphone #apple

  5. Project Indigo is out. It’s early, definitely beta and very promising…

    Mark Levoy and Florian Kainz of Adobe released their 5 year project to provide the next step change in computational photography. It’s a (definitely) beta app for iOS called Project Indigo. Mark Levoy is credited with the computational photography tricks that made Pixel the best smartphone camera thanks to HDR+. The techniques have since arrived in almost all smartphone platforms and personally, I am very surprised that they’ve not been leveraged by camera manufacturers to try and come up with different ways to shoot photos – leveraging cheaper hardware and putting more compute to it.

    Anyway, for someone like me who also likes traditional cameras, smartphone cameras never still hit the spot.

    Second, people often complain about the “smartphone look” – overly bright, low contrast, high color saturation, strong smoothing, and strong sharpening. To some extent this look is driven by consumer preference. It also makes photos easier to read on the small screen and in bad lighting. But to the discerning photographer, or anybody who views these photos on a larger screen than a phone, they may look unrealistic.

    I think this plastic look is what makes me reach out to a regular camera over my incredible smartphone camera. However, it seems like this group is looking to change that

    The app offers full manual controls, a more natural (“SLR-like”) look, and the highest image quality that computational photography can provide – in both JPEG and raw formats. It also introduces some new photographic experiences not available in other camera apps.

    So, most smartphone cameras today take around 4-16 images for the following reason:

    While this phrase has come to mean many things, in the context of mobile cameras it typically includes two strategies: (1) under-expose slightly to reduce the clipping of highlights, and (2) capture multiple images in rapid succession when you press the shutter button. These images are aligned and combined to reduce noise in the shadows. The laws of physics say that imaging noise (the digital version of film grain) goes down as the square root of the number of images that are added together, so if the camera combines 9 images, noise is reduced by a factor of 3. 

    This is the current state of the art only because the smartphone makers are trying to balance – cost, speed and real time nature of the camera. So, you can imagine that if you are willing to wait a bit more and throw more computing resources at it you could generate a better image. Turns out, Project Indigo is certainly starting off with the obvious

    What’s different about computational photography using Indigo? First, we under-expose more strongly than most cameras. Second, we capture, align, and combine more frames when producing each photo – up to 32 frames as in the example above. This means that our photos have fewer blown-out highlights and less noise in the shadows. Taking a photo with our app may require slightly more patience after pressing the shutter button than you’re used to, but after a few seconds you’ll be rewarded with a better picture.

    This often means that you need less denoising (smoothing) and that means more detail – think more textures in the grass, the wall, face etc leading to a more natural image. This is certainly moving the photo to the right direction. What an SLR image captures in terms of detail in one single shutter click, the smartphone camera is now attempting with 32 frames.

    They are also extending the benefits of all this including high dynamic range via the gain-map technique that’s now widely employed in all smartphone platforms. Overall, this is a very promising direction. I can totally imagine Apple actually taking what they’ve developed here and doing it all in hardware to truly provide a step change in smartphone photography. Maybe I am wishcasting here.

    The app runs on all Pro and Pro Max iPhones starting from series 12, and on all non-Pro iPhones starting from series 14. (That said, we’ve deliberately designed Indigo to explore the boundary of what is possible on a mobile device, so the app does some pretty heavy computing, and you’ll have a better experience on a newer iPhone.) It requires no Adobe sign-on at present, and can be downloaded from the Apple App Store.

    The Verge has already taken it out for a spin and they seem impressed.

    I usually preferred Indigo’s warmer, slightly darker image treatment. It takes a little more futzing with the sliders to get a ProRAW image where I like it.

    Let shadows be shadows has long been a request of mine and I am not surprised that I also enjoy the starting shots from Project Indigo. Here’s a picture from earlier today when out kayaking.

    If you are okay with your smartphone battery getting killed a bit for better pictures, I highly recommend Project Indigo. It’s not perfect and there are times when it just died without saving pictures – so you know – buyer beware and all that

    Project Indigo on the App Store

    #adobe #camera #photography #photos #projectIndigo #smartphone #tech

  6. Project Indigo is out. It’s early, definitely beta and very promising…

    Mark Levoy and Florian Kainz of Adobe released their 5 year project to provide the next step change in computational photography. It’s a (definitely) beta app for iOS called Project Indigo. Mark Levoy is credited with the computational photography tricks that made Pixel the best smartphone camera thanks to HDR+. The techniques have since arrived in almost all smartphone platforms and personally, I am very surprised that they’ve not been leveraged by camera manufacturers to try and come up with different ways to shoot photos – leveraging cheaper hardware and putting more compute to it.

    Anyway, for someone like me who also likes traditional cameras, smartphone cameras never still hit the spot.

    Second, people often complain about the “smartphone look” – overly bright, low contrast, high color saturation, strong smoothing, and strong sharpening. To some extent this look is driven by consumer preference. It also makes photos easier to read on the small screen and in bad lighting. But to the discerning photographer, or anybody who views these photos on a larger screen than a phone, they may look unrealistic.

    I think this plastic look is what makes me reach out to a regular camera over my incredible smartphone camera. However, it seems like this group is looking to change that

    The app offers full manual controls, a more natural (“SLR-like”) look, and the highest image quality that computational photography can provide – in both JPEG and raw formats. It also introduces some new photographic experiences not available in other camera apps.

    So, most smartphone cameras today take around 4-16 images for the following reason:

    While this phrase has come to mean many things, in the context of mobile cameras it typically includes two strategies: (1) under-expose slightly to reduce the clipping of highlights, and (2) capture multiple images in rapid succession when you press the shutter button. These images are aligned and combined to reduce noise in the shadows. The laws of physics say that imaging noise (the digital version of film grain) goes down as the square root of the number of images that are added together, so if the camera combines 9 images, noise is reduced by a factor of 3. 

    This is the current state of the art only because the smartphone makers are trying to balance – cost, speed and real time nature of the camera. So, you can imagine that if you are willing to wait a bit more and throw more computing resources at it you could generate a better image. Turns out, Project Indigo is certainly starting off with the obvious

    What’s different about computational photography using Indigo? First, we under-expose more strongly than most cameras. Second, we capture, align, and combine more frames when producing each photo – up to 32 frames as in the example above. This means that our photos have fewer blown-out highlights and less noise in the shadows. Taking a photo with our app may require slightly more patience after pressing the shutter button than you’re used to, but after a few seconds you’ll be rewarded with a better picture.

    This often means that you need less denoising (smoothing) and that means more detail – think more textures in the grass, the wall, face etc leading to a more natural image. This is certainly moving the photo to the right direction. What an SLR image captures in terms of detail in one single shutter click, the smartphone camera is now attempting with 32 frames.

    They are also extending the benefits of all this including high dynamic range via the gain-map technique that’s now widely employed in all smartphone platforms. Overall, this is a very promising direction. I can totally imagine Apple actually taking what they’ve developed here and doing it all in hardware to truly provide a step change in smartphone photography. Maybe I am wishcasting here.

    The app runs on all Pro and Pro Max iPhones starting from series 12, and on all non-Pro iPhones starting from series 14. (That said, we’ve deliberately designed Indigo to explore the boundary of what is possible on a mobile device, so the app does some pretty heavy computing, and you’ll have a better experience on a newer iPhone.) It requires no Adobe sign-on at present, and can be downloaded from the Apple App Store.

    The Verge has already taken it out for a spin and they seem impressed.

    I usually preferred Indigo’s warmer, slightly darker image treatment. It takes a little more futzing with the sliders to get a ProRAW image where I like it.

    Let shadows be shadows has long been a request of mine and I am not surprised that I also enjoy the starting shots from Project Indigo. Here’s a picture from earlier today when out kayaking.

    If you are okay with your smartphone battery getting killed a bit for better pictures, I highly recommend Project Indigo. It’s not perfect and there are times when it just died without saving pictures – so you know – buyer beware and all that

    Project Indigo on the App Store

    #adobe #camera #photography #photos #projectIndigo #smartphone #tech

  7. This is the best result after trying Night Mode on #ProjectIndigo (free app by Adobe - at least currently free.)

    Weird that some people say it’s got a great night mode.. I guess it works better on the Pro cameras due to the sensor.

    Looks pretty blurry!

    Shot on iPhone 16 📸

    #photography #shotoniphone

  8. This is the best result after trying Night Mode on #ProjectIndigo (free app by Adobe - at least currently free.) Weird that some people say it’s got a great night mode.. I guess it works better on the Pro cameras due to the sensor. Looks ... https://j4ck.xyz/2025/06/28/this-is-the-best-result.html

  9. Introducing Adobe Project Indigo – a breakthrough in mobile photography. This free iPhone app reimagines what a smartphone camera can do, blending professional manual controls, true RAW capture, multi-frame super-resolution, and a natural, SLR-like aesthetic. Built by Adobe Labs, Indigo delivers unmatched image quality using advanced computational photography—perfect for creatives, enthusiasts, and pros alike. Curious how it compares to your native camera? Tap to explore how Indigo changes the game. 👇 #Adobe #MobilePhotography #ComputationalPhotography #ProjectIndigo #iPhonePhotography #Lightroom
    research.adobe.com/articles/in

  10. Adobe's Project Indigo app is nice but the pictures feel pretty low quality. I think they do this purposefully because it's "better" than having noise in the image, but idk it just feels kinda plasticy when you zoom in.

    All of these are from an iPhone 16 1x mode.

    #ProjectIndigo #ShotoniPhone

  11. Adobe's Project Indigo app is nice but the pictures feel pretty low quality. I think they do this purposefully because it's "better" than having noise in the image, but idk it just feels kinda plasticy when you zoom in.

    All of these are from an iPhone 16 1x mode.

    #ProjectIndigo #ShotoniPhone

  12. Adobe's Project Indigo app is nice but the pictures feel pretty low quality. I think they do this purposefully because it's "better" than having noise in the image, but idk it just feels kinda plasticy when you zoom in. All of these are from an iPhone 16 1x mode. #ProjectIndigo #ShotoniPhone

  13. from some quick tests of using #ProjectIndigo (iOS camera app by Adobe), it seems to take RLLY crisp pictures, but my iPhone gets SO hot when using it.. it is doing a lot of processing locally to be fair though… not sure if it’s worth the trade-off. I’ll keep it installed for 1-offs..

    #photography

  14. from some quick tests of using #ProjectIndigo (iOS camera app by Adobe), it seems to take RLLY crisp pictures, but my iPhone gets SO hot when using it.. it is doing a lot of processing locally to be fair though… not sure if it’s worth the trade-off. I’ll keep it installed for 1-offs.. #photography

  15. Adobe is testing a new app on iOS (not sure about Android?) called #ProjectIndigoresearch.adobe.com/articles/in – looks pretty cool tbh. I’m gonna be trying it out over the next few days!

    it’s free btw.. not sure if it will be in future :/

  16. Adobe is testing a new app on iOS (not sure about Android?) called #ProjectIndigoresearch.adobe.com/articles/… – looks pretty cool tbh. I’m gonna be trying it out over the next few days! it’s free btw.. not sure if it will be in future :/

  17. "As Adobe explores ways to evolve mobile photography, and in order to address some of these gaps, we have developed a camera app we call Project Indigo. Today, we are releasing this for iPhone as a free mobile app from Adobe Labs, available in the Apple App Store - to share our progress and get feedback from the community. The app offers full manual controls, a more natural ("SLR-like") look, and the highest image quality that computational photography can provide - in both JPEG and raw formats. It also introduces some new photographic experiences not available in other camera apps.

    Let's break this down, starting with computational photography. While this phrase has come to mean many things, in the context of mobile cameras it typically includes two strategies: (1) under-expose slightly to reduce the clipping of highlights, and (2) capture multiple images in rapid succession when you press the shutter button. These images are aligned and combined to reduce noise in the shadows. The laws of physics say that imaging noise (the digital version of film grain) goes down as the square root of the number of images that are added together, so if the camera combines 9 images, noise is reduced by a factor of 3.
    (...)
    What's different about computational photography using Indigo? First, we under-expose more strongly than most cameras. Second, we capture, align, and combine more frames when producing each photo - up to 32 frames as in the example above. This means that our photos have fewer blown-out highlights and less noise in the shadows. Taking a photo with our app may require slightly more patience after pressing the shutter button than you're used to, but after a few seconds you'll be rewarded with a better picture.

    As a side benefit of these two strategies, we need less spatial denoising (i.e. smoothing) than most camera apps. This means we preserve more natural textures."

    research.adobe.com/articles/in
    #Adobe #AI #Photography #DigitalPhotography #ProjectIndigo #iPhone #SLR

  18. "As Adobe explores ways to evolve mobile photography, and in order to address some of these gaps, we have developed a camera app we call Project Indigo. Today, we are releasing this for iPhone as a free mobile app from Adobe Labs, available in the Apple App Store - to share our progress and get feedback from the community. The app offers full manual controls, a more natural ("SLR-like") look, and the highest image quality that computational photography can provide - in both JPEG and raw formats. It also introduces some new photographic experiences not available in other camera apps.

    Let's break this down, starting with computational photography. While this phrase has come to mean many things, in the context of mobile cameras it typically includes two strategies: (1) under-expose slightly to reduce the clipping of highlights, and (2) capture multiple images in rapid succession when you press the shutter button. These images are aligned and combined to reduce noise in the shadows. The laws of physics say that imaging noise (the digital version of film grain) goes down as the square root of the number of images that are added together, so if the camera combines 9 images, noise is reduced by a factor of 3.
    (...)
    What's different about computational photography using Indigo? First, we under-expose more strongly than most cameras. Second, we capture, align, and combine more frames when producing each photo - up to 32 frames as in the example above. This means that our photos have fewer blown-out highlights and less noise in the shadows. Taking a photo with our app may require slightly more patience after pressing the shutter button than you're used to, but after a few seconds you'll be rewarded with a better picture.

    As a side benefit of these two strategies, we need less spatial denoising (i.e. smoothing) than most camera apps. This means we preserve more natural textures."

    research.adobe.com/articles/in
    #Adobe #AI #Photography #DigitalPhotography #ProjectIndigo #iPhone #SLR

  19. Project Indigo : Adobe lance son alternative à l’Appareil Photo d’Apple dlvr.it/TLScJR #ProjectIndigo #Adobe