利用Hilbert扫描与弹性模型的图像缩放新算法  

New algorithm for image reduction and zoom using Hilbert scan and the spring model

作　　者：李军成[1,2] 赵东标[3] 陆永华[3] 

机构地区：[1]南京航空航天大学自动化学院,南京210016 [2]湖南人文科技学院数学系,娄底417000 [3]南京航空航天大学机电学院,南京210016

出　　处：《中国图象图形学报》2011年第10期1779-1783,共5页Journal of Image and Graphics

基　　金：国家自然科学基金项目(51005122;51175261)

摘　　要：提出一种基于Hilbert扫描与弹性模型相结合的图像缩放新算法。首先将2维形式的图像通过Hilbert扫描转化为1维的灰度序列,然后将所得的灰度序列想象成一根橡皮筋,通过橡皮筋的伸缩实现图像的放大与缩小。实验结果表明,该方法操作简单,效果比较理想。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.

关 键 词：HILBERT扫描 弹性模型 图像缩小 图像放大 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]