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HomePhotographyAdobe's new computational iPhone camera app looks unreliable

Adobe’s new computational iPhone camera app looks unreliable


With New Photoshop and Literoom updateAdobe recently unveiled a new computational photography camera app project Indigo.

As Viewed by DPRIVAdobe quietly introduced project Indigo last week blog post Its dedicated research on the website. Project IndiGo is a new computational photography camera app that promises to take advantage of significant progress in computational photography made over the past decade to help mobile photographers capture better quality images.

Four smartphone screens display a camera app interface: a picture in daylight, a night sky photo, a close-up of a flower with zoom option, and a splash photo of a water with manual camera control.

In his article, Adobe’s Mark Levoy (Adobe Fellow) and Florian Cinz (senior scientists) explain how, despite the huge jump in smartphone image sensors and optical techniques, many staunch photographers can still not compete with lantin forms, because they cannot compete with a “smartphone with very big sensors and leans, which they cannot compete with a” Are photold.

Enter the project indigo. The new app aims to “address some of these intervals” that photographers experience with their smartphone cameras. Project Indigo, which is Apple app is still available at storeFull manual control provides, a more natural “SLR-like” look for photos, and the best image quality that can distribute current computational photography techniques, including JPEG and RAW photo formats. Levoy and Kenz said that their new app is also “some new photographic experiences are not available in other camera apps.”

Excess low-light mobile photography

Starting with computational photography aspects of project IndiGo, Adobe researchers use intelligent processing to significantly increase smartphone image quality. In examples below a low-light view, the first photo was captured as a single image on an iPhone under 1/10 lux lights. The second image project is a handheld shot captured by IndiGo. The app captured and merged 32 frames into quick succession, meaning that each frame can push the sensor less, resulting in low noise, while still receiving a suitable final exposure. This is effectively keeping the shutter open for a long time without keeping the camera stable for a long time. And yes, it also works with raw photo output.

A close-up photo of an ornate clock with Roman points, visible is shown in low light with digital noise; An inset zoom on the face of the clock, exposing the granular texture.
A single-image picture taken by an iPhone under 1/10 lux lights, which is so dark that it is difficult to see a few feet away.
A close-up of a wooden pendulum clock with Roman numerals and gold accents. An inset zoom an inset on the decorative carved trim on the clock frame, which exposes wood details.
Picture of Indigo, the project of the same scene using your night mode. This mode captures and merges 32 exposure captured in a few seconds.

Researchers wrote, “What is different about computational photography using IndiGo? First, we reduce more firmly than most cameras.” “Second, we capture more frames while creating each photo, align, and as an example above, add more frames up to 32 frames. This means that our photos have a low blow-out highlights and low noise in the shade. Taking a photo with our app can require a little more patience after pressing the shutter button, but you may need a little more patience after pressing a photo button, but you can have a better picture after a few more patience, but you have a better picture after a few seconds. Will be rewarded. ”

Project IndiGo promises a naturally for your photos

For the “look” of smartphone photos which are many photographers dislike – something like this Some apps have worked hard to overcome – Many mobile camera apps use computational photography to more. While pictures of high-dionamic range with clever tone mapping can expand the dynamic range that mobile shooters can capture, they can also result in deformed, unnatural looking images.

Adobe has already made a lot of progress in the realm of HDR pictures with more natural looking HDR. Impressive adaptive color profileWhich uses the subtle semantic-individual mask-based adjustment to expand the tonal range without the looks of the photo looks strange. Project IndiGo makes this work, but can achieve better results because, as a camera app, it can work with specific camera settings in real time.

“Our look is similar to Adobe’s adaptive color profile, which has made our camera app naturally compatible with Adobe Camera Raw and Literoom. It said, we know which camera, exposure time and ISO were used while capturing your photo, so our look can be more loyal to our look.”

While Adobe has provided many projects Indigo sample photos, which can be properly displayed on this article, many more seen in HDR. To see these pictures, see Adobe’s Project Indigo Literoom AlbumAdobe advises to look at this album on HDR-compatible display using Google Chrome, but it will work in some other browsers. Adobe notes that the album may not be displayed correctly in the safari.

A wicker basket filled with colored, decorated Easter eggs, which was placed on a wooden surface.
Adjusting in Literoom after occupying Project Indigo
Many groups of ripe red tomatoes and some hang from green vines, surrounded by succulent, healthy leaves in a garden setting.
Adjusting in Literoom after occupying Project Indigo

Using a natural camera shake to capture sharper high-zoom photos

Many modern smartphones, such as the iPhone 15/16 Pro and Pro Max models, are several high quality rear cameras with various focal lengths (areas of visual). Cross different focal length options, however, the phones use digital crops, which means they only use the image sensor less and then, in some cases, digitally scales to grow images.

In the project Indigo, when the user takes a pinch to zoom, the app uses multi-frame super-resolution, which promises “restoring image quality lost by digital scaling”. It works similar to a pixel-shift mode on a dedicated camera, which benefits the natural hand movement to capture the same view from a series of slightly different approaches. The app then adds these separate frames to a large, faster that gives more details than the same photo. And unlike the AI-based super-resolution, the additional details are real-drawn from the world images.

The horizon of a city with long skyscrapers near the water is shown in close-up details of central buildings from the first distance and then under a clear sky.
The handheld photo of San Francisco was taken using an iPhone 16 Pro Max’s original camera and 5X lens but was pinned up to 10X.
A distant view of the horizon of San Francisco with a blue sky and long skyscrapers against a long skyscraper is shown with a zoom-in detail highlighting the architecture of the buildings.
A comparable picture was taken using the project indigo. The multi-frame of the app gives less noise and more details than the native photo of the app.

Professional camera control

The third major objective of Project IndiGo is to introduce mobile photographers with professional controls they receive on their dedicated camera system. Project IndiGo includes “a originally from the ground for a computational camera” including focus, shutter speed, ISO, exposure compensation and control over white balance. However, since Project IndiGo depends greatly on the burst photography for some of its characteristics, it also includes fine control over the number of frames per burst.

Image of a three-part: The left shows a photographic setup with cameras and lights aimed at a water drop station; The colored water splashes of the Center and the right show were captured on the Midyar, dramatically illuminated.
Pro-level manual controls of project Indigo enable creative photography.
The Golden Gate Bridge illuminated the evening, spread over cool water with city lights in the distance and sung the hills against a dark blue sky.
When used on a tripod, the project indigo enables long -term exposure photography through a dedicated long exposure button.

The rocky sea piles grow in the evening from the sea, which disappears a soft, blue twilight sky for orange covered with moss and orange near the horizon in the foreground.

A sharp stream flows through a rocky forest, with large boulders and water cascading around the tree tights. Green leaves and long trees fog, frame the cool view.

Three vibrant magenta and yellow alustromaria flowers stand against a solid black background, pronounced by soft lighting with green stems and leaves.
A light painting example was captured using long exposure

It also includes a “tall exposure” button that changes the merger method of the app to capture photos with the same dreamy, smooth appearance as long exposure shot on a dedicated camera. For example, it is very good for taking pictures of moving water, and it can also be used for creative lighting effects and traditional single-frame night photography.

What is more technology and next?

Complete project indigo Article The image of the app provides a lot of depth technical information, including the processing pipeline, as it is related to photographic forms, demosesing and real -time image editing. This photo is an excellent read for technology enthusiasts.

Project IndiGo will be constantly updated and can serve as a test for adobe technologies in development for other apps.

“This is the beginning of a trip for Adobe – an integrated mobile camera and editing experience that takes advantage of the latest progress in computational photography and AI,” Adobe writes. “We hope that Indigo will appeal to casual mobile photographers who want a natural SLR-like look for their photos, in which seen on a large screen, advanced photographers who want manual control and want the highest possible image quality; And anyone enjoys playing with new or serious-conscious-articular experiences.”

Two people sit on a dining table with plates and glasses, a rocky mountain against a large window and a beautiful view in a bright daylight outside the trees.
A ‘loyal’ depiction of a very high dynamic range scene.
An old woman and male sit smiling on a round table for food, with a beautiful view of a blue sky in front of a large window, in front of the mountains, trees and backgrounds.
The same scene with low highlights and raised shadows that want to create a pleasant, natural looking result. This can be seen in HDR on compatible equipment on Adobe’s blog. https://research.adobe.com/articles/IndGo/indigo.html

Pricing and availability

Project IndiGo is now available for free at Apple App StoreThis series works on all Pro and Pro Max iPhones starting from 12 and on the iPhone series 14 and new to all non-pro models. Since it is a functioning, it does not require adobe account to use it. An Android version and in-app preset are in development. The team also says that it is working on an exposure and focus bracketing, as well as a solution for new multi-love mode.

Users are encouraged to download the project indigo and try it for themselves. Adobe wants them feedbackVery.


Image Credit: Project IndiGo is an experimental camera app developed by Adobe’s NextCam team. योगदानकर्ता जियावेन (केविन) चेन, झाउटोंग झांग, युटिंग यांग, रिचर्ड केस, शुमियन शिन, के वांग, एरिक की, एडम पाइकिएल्नी, इल्या चुगुनोव, सेसिलिया ज़ांग, ज़ीहो ज़िया, लुईस हुके, लार्स जेब, लिन, लिन, लिन, लिन, लिन, लिन, लिन, लिन, लिन, और मार्क Levoy. The pictures of this blog are by Mark Levoy, Florian Cinz, Sophia Cinz, Adam Pickelni and Lars Jebe.



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