摘要
对最近邻插值法、线性插值法、邻域像素交换法3种二维图像放大方法的熵进行了分析,给出了放大到4倍和9倍时的计算方法,并对误差进行了分析,仿真结果证明了所给方法的有效性,并发现线性插值法要好一些。
In this paper, three two-dimensional image enlarging methods are studied, including the nearest neighbor interpolation, linearity interpolation and neighbor pixel exchange interpolation. And then, the methods which can enlarge 4 times to 9 times are given, and the errors are analyzed. The simulating results show that the given methods are all effective, and the linearity interpolation is better.
出处
《电视技术》
北大核心
2009年第8期15-18,共4页
Video Engineering
关键词
图像处理
熵
放大
算法
最近邻插值
线性插值
邻域像素交换插值
image processing
entropy
enlarge
algorithm
nearest neighbor interpolation
linearity interpolation
neighbor pixelexchange interpolation
