The sensor is supplied with a two-dimensional, time-dependent, continuous distribution of light energy via the use of a camera, which is subsequently transferred through the lens to the outside world. For those who are unfamiliar with continuous voltage outputs from sensors, they are analog signals in the sense that they can be processed in the same way that they can be processed as analog signals. We must thus first capture and convert a snapshot of that energy into a digital signal before we can modify or preserve a picture in a digital format. We must thus hide both the locations of signals and the amplitudes of signals in order to be effective and guarantee that we will be successful. We can do this via the use of sampling and quantization techniques.

Knowing the difference between sampling and quantization is critical because sampling converts the coordinates (space) into digital signals, while quantization converts the coordinates (space) into analog signals. Sampling and quantization are two different types of signal processing. The amplitudes (color intensities) of the signals are transformed into digital signals during the quantization process, which are subsequently sent.

A technique of turning an analog signal into a discrete signal that takes into account both the sensor components of the acquisition device as well as the signal's geometric properties is known as spatial sampling. It is used in signal processing. Many different image sensors have been developed throughout the years by changing the geometry and acquisition of image sensors. These image sensors are used for a variety of applications. You can read more about this on MechCollege's article. 

The signal is measured using a temporal sampling technique, in which we take into account the regular intervals between measurements and the quantity of light shining on the sensor components.

In order to provide an illustration, examine the sensors present in digital cameras, for example. This process is activated by a constant supply of protons in order to provide them with the necessary electrical charge to function. After that, the signal is assessed by taking into account the amount of charges that have accumulated in the sensor components throughout the course of the exposure time period.

Quantization, in the context of a visual picture, is the process of converting the intensity of light (which is an analog signal) into a digital signal by use of a digital signal converter. The intensity of light created as a result of this process is used to create a digital picture, which is then stored on a computer's hard drive. The quantization level should be adjusted to the greatest level feasible in order to get a crisp, high-quality picture.

Conclusion Because storing an analog signal takes an unlimited amount of memory, we are unable to transform a whole analog signal into a digital signal using the methods given above, and vice versa. Because of this, we must make certain educated assumptions in order to achieve our objective successfully. As a result, the words "digital signals" and "analog signals" should not be used interchangeably.