"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.
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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."
https://research.adobe.com/articles/indigo/indigo.html
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