New algorithm for image reduction and zoom using Hilbert scan and the spring model
利用Hilbert扫描与弹性模型的图像缩放新算法

An algorithm for image reduction and zooming based on Hilbert scaning and the spring model is presented in this paper. Through the Hilbert scan, the two-dimensional image is converted to a one-dimensional gray-level sequence. Then, the gray-level sequence is imaged to a rubber band, and the image zoom and reduction can be realized by stretching out and drawing back the rubber band. Our experiments show that the algorithm is simple in operation, and provides good results.