Affiliations: [a] School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
| [b] School of Computer Science and Technology, Guizhou University, Guiyang, China
| [c] Research Center of Maritime Security Technology, China Waterborne Transport Research Institute, Beijing, China
| [d] School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| [e] Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing, China
Abstract: In order to solve the problems of mosaics and fuzzy details in traditional image interpolation and magnification algorithms, an image magnification algorithm based on compensation item edge segmentation is proposed. According to the boundary degree and pixel distance, the boundary line is extracted from the image, and then the plane area, the adjacent boundary line and the boundary line are respectively enlarged by using their own adaptive interpolation amplification algorithm. The linear interpolation algorithm based on the one-dimensional compensation term is adopted to obtain the new interpolation edge points between each point, and retain the boundary information and texture details information, so as to enhance the image magnification It can improve the resolution and definition of the image. Experiments show that the algorithm can effectively improve the magnification effect of the image, retain the details of the image, and is conducive to image processing.
