What does image sharpening mean in a computer?
Editor to share with you the meaning of image sharpening in the computer, I believe that most people do not know much about it, so share this article for your reference, I hope you will learn a lot after reading this article. Let's learn about it!
Image sharpening compensates the outline of the image, enhances the edge and gray jump of the image, and makes the image clear, which can be divided into two types: spatial domain processing and frequency domain processing. Image sharpening is to highlight the edges, contours, or the characteristics of some linear target elements on the image.
What is image sharpening?
Image sharpening (image sharpening) compensates the outline of the image, enhances the edge and gray jump of the image, and makes the image clear. It can be divided into two types: spatial domain processing and frequency domain processing. Image sharpening is to highlight the edges, contours, or the characteristics of some linear target elements on the image. This filtering method improves the contrast between the edge of the object and the surrounding pixels, so it is also called edge enhancement.
Principle:
Image smoothing often blurs the boundaries and contours of the image. in order to reduce the impact of these adverse effects, it is necessary to use image sharpening technology to make the edges of the image clear.
In the underwater image enhancement processing, in addition to denoising and contrast expansion, sometimes it is necessary to enhance the edge and outline of the scene in the image. The edges and contours are often located in the sudden change of gray level in the image, so we can intuitively think of using the gray difference to extract the edges and contours.
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