It had been a while since the last time I published a review topic. Anyway, as the title suggests, today I will be talking about the camera REDMI Note 7 Just because this had been the interest of many since even before official launch.
I will not delve into the full specification and anything else, you can easily see the summary of this image below.
So, following, our main theme today will be the camera REDMI Note 7.
For your information REDMI Note 7 uses the Samsung Isocell GM1 sensor and to put the suit out there, we will pay a visit to the Samsung product site to check this camera sensor.
There it is declared there 48MP 4in1 to 12MP (1.6 one) on its specification site. Samsung also mentions this that it extracted from its news site.
The GM1 and GD1 sensors are based on the company’s latest pixel isolation technology, Isocell Plus *, which optimizes performance especially for smaller pixel sizes, making them the ideal solution for superresolution cameras Current. In addition, thanks to the Tetracell technology, where four pixels are fused to function as one to increase sensitivity to light, GM1 and GD1 can provide a light sensitivity equivalent to that of a 1.6 μm pixel image sensor at a resolution of 12Mp and 8Mp respectively. Sensors also support gyroscope-based electronic image stabilization (EIS) for fast and accurate image capture.
To simplify this, this GM1 sensor is certainly a 48MP camera sensor, but uses a binning pixel process call to optimize to improve the low light performance of this camera sensor and at the end the output image is 12MP only.
To explain this more, I will have to talk about binning pixel without getting into too technical so that everyone can understand this more easily.
The pixels in a sensor actually have a red, green, and Blue (RGB) filter, allowing only the light that passes through these filters to be recorded. These filtered pixels are arranged in an alternate pattern, with green pixels that are twice as red and blue pixels in any given horizontal and vertical line. The adjacent red, green, and blue pixels are combined into a single RGB pixel using a process called deicing. The binning process occurs during the defrosting stage even before the JPEG is generated.
What is pixel binning?
Pixel binning is a technique by which the defrosting process combines information from 4 pixels in 1. Usually, 1 pixel is 0.8 one so now after combining the 4 pixel becomes 1.6 hum. See the image below.
Basically, this means that capturing information for each of the individual pixels is now combined into 1 large superpixel. By doing this, the sensor is able to take more lights/information and generate a better output image by combining more data into 1 large pixel. But, the downside of this will be the effective resolution of the output image will be 1/4th of the sensor resolution.
So in the case Redmi Note 7, the 48MP sensor is definitely a 48Mm camera, but it gives you a much better result image of 12MP.
This process of image creation is not new in the mobile phone industry at all. The eleven proud flagships of Huawei, the P20 Pro also uses the exact same process by which the 40MP camera really only gives you a final image of 10MP. Another example would be the LG G7 which gives you an image resulting from just 4MP of the 16MP sensor.
In conclusion, the pixel binning negotiates the resolution sensor for better lighting in an image and is really useful when shooting in low light. While you lose the 1/4 of the sensor resolution, but you will end up with images that are decent social networks.
Here are some sample shots that I click on using the Redmi Note 7. Overall, I can say it’s even better than my 6 MI and this is the only 1/3rd of MY 6 price back then. I am super satisfied with the low light taking of this phone as well, but you will need to figure out when to use the AI mode and when to use the night mode. Not all photos of the night mode go well, sometimes the mode of the best shot.
And one last note, I’ll be brutally honest here. Simply do not use the 48MP mode because it is mostly useless in any case since the image of 48MP is actually a result of interpolation. (I’m not going to touch it here, you can Google yourself: P)