Super-resolution interpolation algorithm based on mixed bi-cubic MPMAP algorithm

被引：0
|
作者：
Pu, Li [1 ]
Jin, Wei-Qi [2 ]
Liu, Yu-Shu [1 ]
Su, Bing-Hua [2 ]
Zhang, Nan [2 ]
机构：
[1] School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
[2] Department of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2007年 / 27卷 / 02期
关键词：
Algorithms - Image resolution - Interpolation - Probability - Signal to noise ratio;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Algorithms of super-resolution interpolation for high resolution images are studied. Some common interpolation algorithms and super-resolution interpolation algorithms are analyzed. Following the study of MPMAP super-resolution algorithm a kind of interpolation combined bi-cubic interpolation with MPMAP algorithm was proposed. The bi-cubic interpolation is applied to replace the reverse imaging procedure during the MPMAP iterative calculation and preliminary treatment of initial high resolution image. The pulse signal to noise ratio (PSNR) of restored image is improved more than 2 dB compared with bilinear interpolation algorithm. It is further proved that it is effective in improving the PSNR of infrared thermal images and achieve good effects in restoration.
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页码：161 / 165
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