摘要
针对传统彩色滤波阵列(Color Filter Array,CFA)插值算法在图像识别前一般需要对彩色图像预处理,其中包括把插值后的彩色图像转化为灰度图像、平滑内部和锐化边缘,过程较为繁琐的问题,提出一种新的基于图像增强的灰度插值算法,即在插值过程中锐化图像的边缘并平滑内部,插值结果直接是一幅灰度图像并且保证图像的几何特性不变.实验结果表明此算法的有效性.
Traditional Color Filter Array （CFA） interpolation algorithms need color image pretreatmcnt before the recognition process which includes the following process： converting the color images to gray images, sharpening the edges and smoothening the interior areas. Therefore, a new gray interpolation algorithm is presented based on image enhancement. In the algorithm, the process includs both sharpening the edges and smoothening the interior areas in the process of interpolation. After the interpolation, a gray image is got. The experiment results prove the validity of the algorithm.
出处
《计算机辅助工程》
2006年第4期47-49,共3页
Computer Aided Engineering
关键词
图像识别
彩色滤波阵列
插值
图像增强
image recognition
color filter array（CFA）
interpolation
image enhancement
