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Hello Mi Fans!
To become a Mi Fan one of the common reason is affection on Xaiomi phones camera. No one can deny about the special features and technology of Xiaomi camera system and sensors. Currently dual rear camera and portrait mood along with highest score in DXO mark blowing our minds. Let’s go for a discussion about common technology of current camera technology.
Smartphone cameras are now developing faster than previous time. Because of tiny sensor they don't capture enough light.
But that's where computational photography comes in. By combining machine learning, computer vision, and computer graphics with traditional optical processes, computational photography aims to enhance what is achievable with traditional methods.
Intelligent exposure and processing
One of the defining characteristics of smartphone photography is the idea that you can get a great image with one button press, and nothing more. No exposure decision, no tapping on the screen to set your exposure, no exposure compensation, and no post-processing.
But the question is how does it do that? To get a best photo in low light moods it capture several frames it shot in memory, so when you press the shutter it can grab them, break each into many square 'tiles', align them all, and then average them. Breaking each image into small tiles allows for alignment despite photographer or subject movement by ignoring moving elements, discarding blurred elements in some shots, or re-aligning subjects that have moved from frame to frame. Averaging simulates the effects of shooting with a larger sensor by 'evening out' noise.
You know that in case of autofocus technology, Xiaomi phones camera is faster than others. Improvements in autofocus, combined with the extended depth-of-field inherent to smaller sensors, are bringing focus performance of smartphones nearer and nearer to that of high performance dedicated cameras. Xiaomi use PADF autofocus technology to focus faster than any one. It takes 0.3 second to focus on an object.
However, current implementations only utilize this modified microlens structure in 2 pixels out of an 8x8 pixel region, which means only 3% of the pixels are used for 'Dual PDAF' AF. That means less light and information available compared to the full-sensor Dual Pixel AF approach which, combined with the lack of the multi-frame noise reduction.
In case of Xiaomi camera, it tries to maintain color accuracy. Xiaomi displays are all calibrated and profiled to display accurate colors, so no matter what you're viewing, colors look the same. Google is trying to solve color accuracy in other devices via a proper color management system (CMS).
HDR and wide-gamut photography
And then we have HDR. Not the HDR you're used to thinking about, that creates flat images from large dynamic range scenes. No, we're talking about the ability of HDR displays—like bright contrasty OLEDs—to display the wide range of tones and colors cameras can capture these days, rather than sacrificing global contrast just to increase and preserve local contrast, as traditional camera JPEGs do.
Currently in all the devices of Xiaomi it has HDR and Auto HDR mood to get more colorful and wide-gamut photo. Now you are getting the best quality images than others through breakthrough technology.
The image below exemplifies an interesting use of computational blur. The camera has chosen to keep much of the subject—like the front speaker cone, which has significant depth to it—in focus, while blurring the rest of the scene significantly. In fact, if you look at the upper right front of the speaker cabinet, you'll see a good portion of it in focus.
The camera and software has chosen to keep a significant depth-of-focus around the focus plane before blurring objects far enough away from the focus plane significantly. That's the beauty of computational approaches: while F1.2 lenses can usually only keep one eye in focus—much less the nose or the ear—computational approaches allow you to choose how much you wish to keep in focus even if you wish to blur the rest of the scene to a degree where traditional optics wouldn't allow for much of your subject to remain.
The future is bright
This is just the beginning. The computational approaches Xiaomi, Apple, Google, Samsung and many others are taking are revolutionizing what we can expect from devices we have in our pockets, devices we always have on us.
Are they going to defy physics and replace traditional cameras tomorrow? Not necessarily, not yet, but for many purposes and people, they will offer pros that are well-worth the cons. In some cases they offer more than we've come to expect of traditional cameras, which will have to continue to innovate—perhaps taking advantage of the very computational techniques smartphones and other innovative computational devices are leveraging—to stay ahead of the curve.
But as techniques like HDR+ and Portrait Mode and Portrait Lighting have shown us, we can't just look at past technologies to predict what's to come. Computational photography will make things you've never imagined a reality. And that's incredibly exciting.
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