Image magnification method based on edge extraction

Abstract

The invention discloses an image magnification method based on edge extraction. The image magnification method based on the edge extraction includes the following steps: carrying out pretreatment of Gaussian filter and noise reduction on an image needing to be magnified, constructing a pixel grid by using each pixel point as a vertex of the grid in the image after the pretreatment and looking up intersection points of the pixel grid and an edge needing to be determined; optimizing numbers and positions of the intersection points which are found; connecting optimized intersection points to form a coherent edge; looking up and marking pixel points with pixel values affected by the edge at two sides of the edge; subdividing the pixel grid evenly according to the multiple to which the image needs to be magnified; carrying out calculus of interpolation according to the information of the edge and the pixel points with the marks to obtain corresponding pixel points of each subdivided grid to achieve the magnification of the image. The image magnification method based on the edge extraction is capable of extracting complete and accurate edge information of an image, enabling a magnified image to keep original gradient change, high in efficiency and strong in expandability.

Description

technical field

[0001] The invention relates to the technical fields of digital image processing and computer vision, in particular to an image enlargement method based on edge extraction. Background technique

[0002] With the continuous promotion of digital applications, digital image information plays an increasingly important role in social production and life. There is an increasing demand for high-quality images in the fields of visualization technology research, medical treatment, aerospace, and digital entertainment. With the diversification of image display devices and the continuous increase in size, the demand for high-resolution images has become more urgent. However, the current high-resolution digital image acquisition equipment and network transmission support are still far behind the demand. Therefore, the method of enlarging low-resolution images has become more and more important, and has always been a research hotspot in the field of computer vision. [...

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