基于块对称对叠的多幅图像超分辨率重建算法研究

在进行图像超分辨率重建时，使用多幅图像比使用一副图像能够得到更好的效果，但是目前基于多幅图像的超分辨率重建算法普遍存在重建速度慢、重建质量不够理想的问题。为此，本文构造了一种基于块对称对叠（PsyCo）的多幅图像超分辨率重建算法，首先对低分辨率图像序列进行基于ORB的图像配准，再对配准后的图像进行PSyCo重建，最后对重建的图像进行像素灰度最大值融合。实验结果表明，本文提出的重建算法具有更好的重建效果，并且具有较快的重建速度。

Multiple Images Super Resolution Recons-truction Algorithm based on Patch Symmetry Collapse

Super resolution reconstruction based on multiple images is the process of reconstructing a high-resolution image through multiple low-quality and low-resolution image sequences. However, there are many problems in the reconstruction algorithm based on multi-image resolution reconstruction. Aiming at these problems, this paper constructed a multi-image super-resolution reconstruction algorithm based on PSyCo. Firstly, the image registration based on ORB is performed on the low-resolution image sequence, and then the PSyCo reconstruction is performed on the image after registration. Finally, the reconstructed image is fused with the maximum gray value of the pixel. The experimental validation of our algorithm shows the reconstruction quality of this paper is better than the traditional algorithm and has a faster reconstruction speed.