What does image sharpening mean?

Image sharpening is to compensate for the contours of the image, enhance the edges of the image and the grayscale jump parts to make the image clearer. It is divided into two categories: spatial domain processing and frequency domain processing. Image sharpening is to highlight the edges, contours, or features of certain linear target elements in the image.

#The operating environment of this article: windows10 system, thinkpad t480 computer.

What is image sharpening?

Image sharpening (image sharpening) is to compensate the outline of the image, enhance the edge and grayscale jump part of the image, and make the image clear. It is divided into two categories: spatial domain processing and frequency domain processing. Image sharpening is to highlight the edges, contours, or characteristics of certain linear target features on the image. This filtering method improves the contrast between the edge of the ground 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 such adverse effects, it is necessary to use image sharpening technology to blur the edges of the image. becomes clear.

In addition to denoising and contrast expansion in underwater image enhancement processing, sometimes it is also necessary to enhance the edges and contours of the scenes in the image. Edges and contours are often located at places where grayscale mutations occur in the image, so it can be intuitively thought of using grayscale differences to extract edges and contours.

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