摘要
本文在对经典的凸集投影超分辨率算法进行改进的基础上,提出了将凸集投影与小波融合相结合,由一组低分辨率图像重建一幅清晰的高分辨率图像的方法。对CT图像处理结果表明:该方法可以提高算法融合不同信息的能力,使得重建图像更加细腻,具有更好的视觉效果。
In this paper a new super-resolution image reconstruction algorithm was proposed. With the improvement of the classical projection onto convex sets （POCS） algorithm, as ground work, and with the combined use of POCS and wavelet fusion, a high resolution CT image was restored by using a group of low resolution CT images. The experimental results showed： the proposed algorithm improves the ability of fusing different information, the detail of the image is more prominent, and the image quality is better.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2009年第5期947-952,共6页
Journal of Biomedical Engineering
基金
天津市科技发展计划资助项目(06YFSYSF02200)
关键词
超分辨率
图像重建
凸集投影
小波融合
Super-resolution Image restoration Projection onto convex sets（POCS） Wavelet fusion
