Subpixel Definition, Accuracy and Resolution


Subpixel is a very popular topic in the Computer Vision and Machine Vision space. The idea is simple, a detector and a camera are placed at a slightly offset location. By tracking the movements of the sub-pixel and the detector, one can extract the coordinates of the object or the tool. In a world, where the vision system has placed some distance from the workpiece. This technique is often used to achieve decent accuracy. But, there are several other use cases in which sub-pixel technology is used to extract information.

What is Subpixel?

Subpixel is a term used in digital display technologies, guiding to the individual pixels that make up a larger pixel. A subpixel is typically one-third or one-fifth the size of a full pixel. By using subpixels, display manufacturers can pack more pixels into a given space, resulting in a sharper image.

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Subpixel Accuracy

Subpixel accuracy is the degree to which a device can render the position of a given pixel. This is typically expressed as several bits per pixel, which means the number of fractional bits that can be used to position the pixel. For example, a device with 4 bits per pixel can render the position of a pixel with an accuracy of 1/16th of a pixel.

This accuracy is important for devices that need to render high-resolution images, such as monitors and printers. It is also important for devices that need to track the position of objects with a high degree of precision, such as optical scanners and microscopes.

Application of Subpixel in Machine Vision

Subpixel is a technique used in machine vision to improve the accuracy of measurements. It involves using a sensor to detect the position of objects at a fraction of a pixel. This information can then be used to improve the accuracy of measurements by up to a factor of 100.

Subpixels can be used to improve the accuracy of measurements of objects in a scene. It can be used to measure the position of objects with a high degree of precision. And can also be used to improve the accuracy of measurements of objects in a scene.

Determining Feasibility

A subpixel is a tool that allows designers to test the feasibility of their designs before they are executed. By creating prototypes and testing them against user requirements, designers can determine whether a design is likely to be successful. Subpixel is particularly useful for testing the feasibility of designs that are complex or have many components.


Subpixel aliasing is a common problem when rendering text on the screen. This occurs when the pixels in the font are not aligned perfectly with the pixels on the screen, resulting in a jagged or blurry appearance.

There are several ways to mitigate this problem. One is to use subpixel rendering, which uses the extra pixels on the screen to smooth out the edges of the text. Another is to use anti-aliasing, which renders the text at a higher resolution and then scales it down to fit the screen.

Both of these methods can improve the readability of text on the screen. But they come at the cost of increased processing power. So it’s important to weigh the benefits against the performance impact when deciding whether to use subpixel aliasing or anti-aliasing in your app.

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Subpixel Resolution

The term “sub-pixel resolution” refers to the ability to resolve elements that are smaller than the individual pixels in an image. This can be achieved through several methods, including using a higher resolution sensor, using a smaller pixel pitch, or using a technique called super-resolution.

Super-resolution is a technique that can be used to improve the resolution of an image beyond the limit of the sensor. This is done by combining multiple lower-resolution images to create a single high-resolution image. This technique can be used to increase the resolution by a factor of two or more, depending on the number of images used.

While sub-pixel resolution can be used to improve the resolution of an image. It is important to remember that this comes at the cost of increased image noise. This is because the smaller pixels are more susceptible to noise. As such, it is important to weigh the trade-offs before using this technique.


In this article, we have discussed the various aspects of a subpixel in detail. Subpixel is a very important subject in image processing. By having complete knowledge of subpixel, you can understand the problems that can arise in certain applications. This knowledge can be used to improve the quality of the results.

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