Edge sharpening
Under edge enhancement means a image processing method as shown in today's photo editing software is available for individual images or the video signal processing for processing moving images often available. The underlying idea is that edges in an image or video signal in particular are amplified by increasing the high-frequency signal components, which leaves a sharper image impression on the viewer.
The algorithms used are diverse and mostly use non-linear filters. This enables a dedicated filter effect only in image regions with edges and avoids a general increase in high-frequency image noise in image areas without edges. The edge sharpening in today's low-cost televisions is mostly done in a purely one-dimensional manner in the horizontal direction, in mid-range devices mostly sequentially horizontally and vertically. Real two-dimensional processing is better, as can be found on more expensive devices, which can lead to good sharpening results, especially with sloping edges, and avoid stair-like image artifacts. If the images are not required in real time, complex algorithms can also be used to achieve optimal results. In robots that act autonomously, you often have to find a compromise between computer size, power consumption and the quality of the results (robots playing soccer, Mars probes, cars on the motorway, material vehicles in industrial halls ...).