Monday , October 25 2021

Night Google & # 39; s sights on the Pixel 3 shows promise & # 39; computational photography



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B & # 39; very prominent smartphones to export two or more lenses in their main camera, is hygienic to see Google sticking to its gun b & # 39; only one camera Pixel to Pixel 3 and 3 XL.

On paper, you & # 39; flown one camera can & # 39; overcome performance & # 39; & # 39 systems with; many cameras, especially for night scenes.

The answer & # 39; Google for that is a Night Sights, which came after the last feature phones went so Pixel sale. After 3 Pixel test it on for some time, I & # 39; to say that the software is just as important as the hardware.

By & # 39; computational photography, Google is able to vastly improve the image of its Pixel phones. The key here is using algorithms to improve the selective parts of the image.

This means more light where needed most. At least where not. In addition, other improvements surrounding the image to be taken only in & # 39; much easier version without time spent & # 39; next in Photoshop later on.

Turn Night Sights, hold hands for 2 to 3 seconds and the smartphone will do the rest. The feature is impressive. Moreover this is done by & # 39; only one sensor. PHOTO: Wilson Wong

The Night method Sights take multiple frames of the same scene in & # 39; different exposures in & # 39; period & # 39; very short time, and by learning machine, connects these frames together to produce images which has the widest range of & # 39; brightness.

In other words, we see the details in both the most powerful and dark parts of the image. To solve one of the most problems & # 39; common head to photography – do the right light during frame.

From my various tests, the pictures taken with the smartphone were certainly impressive. Can & # 39; is that you do not need & # 39; tripod now, because you & # 39; relieves the movement in the frames taken by the camera and to produce estrattha shake free image. Leaving without a tripod certainly made it easier for me to pull in & # 39; & # 39 conditions, low light.

Although there are slight movements & # 39; people to turn around, the Pixel 3 considered that this was also shot in the hand. So I could take a very strong performances in the dark rooms of the National Museum shots.

The museum interior is quite dark and generally requires the use of & # 39; tripod but Google Night Sights allows not only for photography b & # 39; a low level, but also eliminates movement. PHOTO: Wilson Wong

Of course, m & # 39; there is no miracle pill, despite the expertise & # 39; Google here. F & # 39; some cases, the color shown imprecise, especially in & # 39; imaging the subject triggered by & # 39; illumination & # 39; after the shooting.

This shot of handheld National Museum & # 39; Singapore is strong, but the color of the lights turned pink is not as appeared. PHOTO: Wilson Wong

I made the same attempt, but this time using the Huawei Mate Pro 20 as a comparison. Even if the computational photography has made great strides in shooting at & # 39; difficult conditions, getting the right color is also a priority. PHOTO: Wilson Wong

Even though some may argue that computational photography leading to a loss of & # 39; & # 39 methods; photography 'traditional', m & # 39; there is no denying that made photography easier. Users can focus on capturing the important moments of life.

What I saw the & # 39; now Pixel 3 was impressive. And computational photography will only get better with & # 39; faster processors into new smartphones coming our way.


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