title: [Super-resolution image reconstruction algorithm based on projection onto convex sets and wavelet fusion].
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.
authors: College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin 300072, China. yzcao@tju.edu.cn
authors: Yuzhen
authors: Y
authors: Cao
authors: Xiaoting
authors: X
authors: Liu
authors: Wei
authors: W
authors: Wang
authors: Zhanfeng
authors: Z
authors: Xing
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D014057:Tomography, X-Ray Computed