摘要
在数码相机中,经插值运算后的数码图像,常伴有噪声和伪色的影响,使图像变得模湖,边缘部分不够清晰。因此,需要通过锐化处理,增强图像边缘轮廓,增加清晰度,减少伪色。该文提出了一种基于动态边缘检测的图像锐化算法,恢复的图像在细节纹理、边缘、色彩方面的效果都较理想,对边缘的噪声抑制较明显,与常用锐化算法比较,在同等仿真环境下,所提出的方法有运算复杂度较低的优点。
Considering that the characteristics of the image is not clear, and edge is not obvious, high fre- quency components are weakened by the noise and false color when the interpolation algorithms are perforrhed in digital cameras. An improved image sharpening method is proposed based on dynamic edge detection in this pa- per. Simulation results show that the restored images are obvious improved with our proposed method. Moreover, the computational complexity of the proposed method is lower, compared to conventional sharpening algorithms.
出处
《杭州电子科技大学学报（自然科学版）》
2012年第4期21-24,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
基金
国家自然科学基金资助项目(61071129)
浙江省科技厅创新团队项目(R09003-06)
关键词
图像增强
图像锐化
边缘检测
时空滤波
image enhancement
image sharpening
edge detection
spatial-time-domain filtering
作者简介
任浩（1980-），男，甘肃西峰人，在读研究生，多媒体传输与处理．
