- Tram Ho
In 2020, as a smartphone user, we may not be too familiar with the term “Computing photography”, one of the cutting-edge technologies that make smartphone cameras superior. Not only has the camera function improved in terms of hardware, but the image processing algorithm has also been raised to a new level.
However, not everyone understands the benefits that computer photography brings to daily use. What is computer photography and why is it so used by so many manufacturers? Especially with Bphone, BKAV emphasized that computational photography is a revolution of smartphone cameras. This article will probably be the answer that many people themselves are looking for when it comes to the applicability of computational photography in everyday life.
What is computer photography?
The simplest answer can be understood as follows: Computational photography is a technology developed to ensure and help the smartphone camera to achieve the effects that conventional cameras bring, even Better in many cases.
As we all know, the advantage of smartphones comes from versatility, compactness and can be carried anywhere easily. However, this is also a weakness of the smartphone when it comes to the camera factor, because of its compact and lightweight nature, a smartphone will have very little space for the camera (including image capture sensor and lenses). And to increase the mobility of smartphones, cameras on mobile devices are designed with the smallest, optimal hardware possible, and of course, the quality will be incomparable to those with Sensor systems and lenses are much larger.
Hardware is optimized to fit in a compact smartphone, here, to improve image quality, manufacturers have devised image processing algorithms after being received by the sensor. As such, the camera will provide the hardware and the image processing algorithms will be the software for both to work perfectly to deliver the best image possible. This is the birthplace of the concept of “computer photography”.
The evolution of Computational Photography makes it one of the most effective tools for improving image quality. Computer photography can be used in a variety of situations such as focusing, subject tracking, distance calculation, etc. However, the true potential of computational photography is even greater than that, especially As the power of smartphone processors becomes more and more powerful.
Why is this breakthrough technology in the camera phone race?
Computational photography opens the door for manufacturers to take full advantage of the computing power of microprocessors to capture as much light as possible into the sensor, by the key. photography is light. The challenge of manufacturers will now be to bring the ability to calculate and process images as well as or better than specialized cameras, while the sensor can be up to 35 times smaller.
And Computer Photography is the answer to this challenge!
Computational photography creates images that surpass the conventional capabilities of smartphone camera hardware. While we cannot deny the importance of existing hardware systems (sensors, flexible lenses), our users’ daily use has proven that computational photography is weak. The most important factor is the key to image quality.
While the race for camera phone hardware is still not over, many manufacturers have begun to turn to racing in terms of software, image processing algorithms in particular and computer photography in general. improve camera quality. And BKAV is one of the pioneering manufacturers.
Bphone B86 – What did computer photography do?
With modern mobile processors, especially the Snapdragon 675 chip on Bphone B86, has built-in AI processing capability, which improves up to 2.5 times the performance of the previous generation Bphone 3 Pro, the New Bphone models will be able to bring a superior image quality. It can be affirmed that computer photography has “unlocked” the extremely cool features on Bphone B86 that no other smartphone has been able to do before: sCorrection, sMacro, sNight or the moment capturing mode. but only on the new Bphone.
With sCorrection, this is a new technology developed by BKAV to bring true color images. As we all know, other high-end phone manufacturers often use AI to process and reproduce image information based on captured images to improve image quality. However, with Bphone, BKAV took advantage of computing technology, intervened right from the raw light data before reproducing the image, maximizing the fidelity of colors, image sharpness, softness. smooth of details, minimize noise, asymptotic accuracy, before further processing by AI algorithm.
In addition to sCorrection, BKAV also integrates many exclusive photography features, among which can be mentioned as sMacro close-up mode or moment freeze shooting, all of which take full advantage of the power of computing to image processing in shooting situations often makes it difficult for the camera of a smartphone.
Shooting mode The moment to maximize the power of computational Photography when it is possible to capture every instant motion that is difficult for the human eye to see
Or sMacro close-up mode: Bphone takes many photos with different focus areas and then stitches them together to give a sharp image in nearly every detail of the subject
Night mode sNight: AI Camera is responsible for recreating the unrecognized details of the camera sensor when shooting. You can still take clear pictures even when it is very dark, the human eye does not see clearly.
Thanks to Computing Photography, the new Bphone product line has been a testament to an “unlimited experience”. Using the power of computational photography, BKAV was able to take the user experience beyond hardware limitations. This will be what we can see in the future of smartphone cameras, and Bphone is one of the pioneers in leveraging computing power, bringing a limited outside experience.
Source : Genk