Final answer:
The combined filters for edge sharpening in image processing often entail an edge detection stage followed by a sharpening filter. This two-step approach effectively enhances the edges in an image to make it clearer and more detailed, which is important for applications in various fields.
Step-by-step explanation:
The combined filters used for edge sharpening in image processing typically involve both enhancement and detection of edges within an image. A common approach is to first apply an edge detection filter, like the Sobel, Prewitt, or Canny operator, to highlight the edges. After edge detection, a sharpening filter, such as an unsharp mask or High Pass filter, is applied to emphasize the detected edges, making the image appear clearer and more detailed.
Edge sharpening is a critical step in image processing that enhances the visibility of edges and improves the overall sharpness of an image. The two stages, edge detection followed by sharpening, work together to augment the edges without affecting the rest of the image significantly. This technique is widely used in fields like medical imaging, photography, and computer vision.