基于图像增强的灰度插值算法  

Gray interpolation algorithm based on image enhancement

作　　者：曹计昌[1] 杨帆[1] 

机构地区：[1]华中科技大学计算机科学与技术学院,湖北武汉430074

出　　处：《计算机辅助工程》2006年第4期47-49,共3页Computer Aided Engineering

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.

关 键 词：图像识别 彩色滤波阵列 插值 图像增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]