edge spread function的意思|示意

'

Edge spread function (ESF) is a mathematical representation of the shape of an edge in an image. It is mainly used in image processing to measure the sharpness of a digital image, or the amount of contrast present along an edge.

In digital imaging, ESF is the 2-dimensional counterpart of the point spread function. It is a symmetric function, which contains information about the contrast, width, and direction of a particular edge. It is used to assess the effects of various image processing operations, such as sharpening, blurring, and noise removal.

ESF is most often measured in terms of the contrast of the edge, which is the ratio of the maximum to the minimum values along the edge. It is also measured in terms of the width of the edge, which is the number of pixels across the edge. Lastly, it is measured in terms of the direction of the edge, which is usually expressed as an angle relative to the horizontal.

ESF can be used to determine the optimal parameters for image processing operations like sharpening and noise removal. It can also be used to compare two different images to assess their sharpness or contrast.

In conclusion, the edge spread function is an important tool for image processing and analysis. It can be used to measure the sharpness of an image, the contrast of an edge, the width of an edge, and the direction of an edge. It is a useful tool for understanding the effects of various image processing operations.