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「ColorOS Know How」Know more about Image Sensors

 View:404    Reply:2 | Posted at 8-6-2019 15:57:46 | Display all floors | Copy
Hello ColorOS SuperFans,

Are you guys interested to know about image sensors and how they work??
I am here to share technical stuff related to image sensors. so, let's get started-

An image sensor is a device used primarily in standalone or embedded digital cameras and imaging devices. Typically, when light strikes the lens of a camera, the image sensor captures that light converts it into an electronic signal and then transmits it to the camera or imaging device processor, which transforms the electronic signal into a digital image.

There are two main types of image sensors:
1) Complementary Metal Oxide Semiconductor (CMOS)
2) Charged Coupled Devices (CCD)

cmos final.jpg



In a CMOS sensor, each pixel has a photoreceptor performing its own charge-to-voltage conversion and typically includes amplifiers, noise-correction, and digitization circuits, enabling the sensor to output digital data directly. The pixels typically don't store any charge; they simply read how much light is hitting that pixel at a particular moment and read out, progressively from top left to bottom right, line by line while the shutter is open.

In a CCD sensor, light enters the photoreceptor and is stored as an electrical charge within the sensor, then converted to voltage, buffered, and sent out as an analog signal when the shutter is closed.

A strong advantage for CMOS technology is that it provides digital output and can be controlled at the pixel level in ways that are not possible with CCDs. This provides potentially huge advantages in specialized imaging where one might want to apply partial scanning or a particular control process to only a segment of the sensor. This capability is useful for control of cameras in different imaging modes for multi-spectral imaging or binning.

Most of the smartphones use CMOS sensors. In recent times mobile photography has made commendable progress, especially in terms of the pixel count. Not many years ago we used to see smartphones with a 2 Mega-pixel camera while we now see 12MP sensors as a common sight even on budgets smartphones. In fact, we've now started to see a few 48 million-pixel or megapixel camera sensors such as the Samsung GM1 and the Sony IMX586. While there are at least these two models that claim to output a 48MP resolution image, both the sensors do it in very different ways.

The two latest image sensors are:

1) Samsung GM1
2) Sony IMX 586     

Sony IMX 586 Sensor :

sony imx 586.jpg

The IMX 586 sensor is Sony's new CMOS for mobile phones and has an effective pixel count of 48 million or 48 Mega-pixel.  This makes it the highest level in the industry and the technical data sheet of the sensor for the mobile phone shooting with it has been completely rewritten. The IMX586's highlight feature is the use of Bayer array and the array is different from the classic Bayer total of a 2×2 grid. The Bayer array quad has extended it to 4×4 in a way arranged adjacent to the RGB.

At present many flagship smartphones are using this Sony IMX 586 sensor. This sensor is used in flagship smartphones OPPO Reno 10x, OPPO Reno, etc.

Samsung GM1 sensor :

gm1 final.jpg

The output of the Samsung GM1 sensor is a little different and uses a traditional 2×2 array to recognize the same color and can only output data collectively. The photos output by the GM1 sensor is not essentially very different from the output of a 12MP sensor. The data displayed on the Samsung Official website confirms this and the specification clearly states a resolution of 4000 x 3000 adding up to 12 million pixels or 12 Mega-pixels. The rest of the work is done on the software end using pixel interpolation to theoretically come up with a 48MP resolution image.

Finally, what do you think? Which one you feel is better? Comment below your opinion.

That's all for now. see you in my next article. thank's for sparing your valuable time with ColorOS.

For any suggestions or feedback comment below.
Do follow @Hrithikpawan for more technical stuff.
Hrithik pawan kakkireni



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Posted at 26-8-2019 19:45:23 FromCPH1821Mobile phone | Display all floors

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