摘要
非线性缩放能够保持图像主体的特征与比例。基于图像梯度函数,在RGB模型下提出彩色图像的势能算法,利用势能找出图像强势区域。在弱势区域采用快速线性插值法缩放,维持强势区域比例以保护图像重要特征物。与传统图像缩放算法相比,所提算法有效克服了图像在拉伸时产生畸变的缺点。
Non-linear scaling can maintain the main characteristics and the ratio of the image. Based on the image gradient function, a new potential energy algorithm for color images was proposed in RGB model, and the strong regions were found using potential energy. Fast linear interpolation scaling was used in low energy regions, and it preserved those strong areas in order to protect important features of the image objects. Compared with the traditional image scaling algorithm, the proposed algorithm can overcome the shortcomings of image distortion generated by the scaling effectively.
出处
《计算机应用》
CSCD
北大核心
2010年第10期2823-2824,2837,共3页
journal of Computer Applications
关键词
非线性缩放
梯度函数
RGB模型
图像势能
线性插值
non-linear scaling
gradient function
RGB model
image potential energy
linear interpolation
