基于小波的图像超分辨率重建算法研究

在遥感图像、医学图像等领域，最初获得的图像分辨率往往达不到期望的水平。图像的超分辨率重建就是在低分辨率图像基础上重建出高分辨率图像的技术。针对已有重建算法中的不足，给出一种将高频能量适当降低的SHR重建算法；并进而针对高频细节不能高质量重建的问题，利用小波反变换对高频信息进行重建，提出了一种基于小波高频重建的图像超分辨率重建算法——SHW算法。实验证明，这两种算法的性能比已有图像超分辨率重建算法均有不同程度提高。

Research on image superresolution based on wavelet transform

The resolution obtain often cann't achieve the expectation level in remote sensing image and medical(image) domain.Super-resolution reconstruction of image refers that we can reconstruct image in high resolution based on low resolution.It proposed two methods to improve the two problems,SHR and SHW.SHR can depress high-resolution properly.SHW is based on wavelet high-resolution restriction using wavelet retransformation.By experiments in the paper,it is proved that the two algorithms are more efficient than those available algorithms.