基于凸集投影和小波融合的超分辨率图像重建算法

[Super-resolution image reconstruction algorithm based on projection onto convex sets and wavelet fusion].

作者信息

Cao Yuzhen, Liu Xiaoting, Wang Wei, Xing Zhanfeng

机构信息

College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin 300072, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Oct;26(5):947-52.

PMID:19947465

Abstract

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.

摘要

本文提出了一种新的超分辨率图像重建算法。以经典凸集投影（POCS）算法的改进为基础，并结合POCS与小波融合，利用一组低分辨率CT图像恢复出高分辨率CT图像。实验结果表明：该算法提高了融合不同信息的能力，图像细节更突出，图像质量更好。