多帧图像超分辨率重建算法  

Reconstruction for multi-frame images super-resolution

作　　者：王静[1] 吴爱弟[1] 

机构地区：[1]天津职业技术师范大学理学院,天津300222

出　　处：《天津职业技术师范大学学报》2014年第4期32-36,共5页Journal of Tianjin University of Technology and Education

基　　金：天津市应用基础及前沿技术研究计划项目(12JCYBJC10600)

摘　　要：多帧图像超分辨率重建技术就是将一些变形、模糊、降采样的低分辨率图像进行融合,估计出一幅高分辨率图像,其步骤主要分为运动估计、插值处理、图像重建。本文采用Vandewalle配准方法将处理过的低分辨率图像序列映射到一幅高分辨率网格上,然后进行插值,最后结合小波变换和迭代方法进行图像重建,并采用小波阈值去噪方法进行去噪处理。实验结果表明:本算法能较好地提高图像的峰值信噪比,是图像重建的一种有效方法。Multi-frame super-resolution image reconstruction is used to make image processing produce high resolution image from a set of distortion, blurring and down-sampling images. This technique fuses these low resolution sequences at pixel level to achieve a high resolution image. The steps are as follows： motion estimation, interpolation processing, image reconstruction. The Vandewalle registration method is used to estimate motion parameter, then map a high-resolution grid by interpolation. At last, the algorithm combined with the wavelet and iteration is used to reconstruct the super-resolution image. At the same time, the method of wavelet threshold de-noising is chosen. The experimented results show that this algorithm improves the resolution and PSNR, which is a useful method for super-resolution image reconstruction.

关 键 词：超分辨率图像重建 运动估计 插值 小波变换 阈值去噪 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]