摘要:
图像配准是超分辨率重建中的一个关键问题, 直接影响超分辨率重建图像的质量. 本文在自适应十字搜索(Adaptive rood pattern search, ARPS)块匹配算法的基础上, 根据小波域中各图像之间的相关性, 提出一种分层块匹配算法---基于小波变换的改进的自适应十字模式搜索算法(Improved adaptive rood pattern search algorithm based on wavelet transform, W-IARPS), 该方法在小波变换域完成匹配宏块的搜索, 有效地减少了匹配点的搜索个数, 且配准图像的峰值信噪比相比全搜索算法下降不到0.l dB, 保持了较高的配准精度. 最后采用凸集投影(Projections onto convex sets, POCS)算法对配准后的图像进行超分辨率重建, 取得了较好的视觉效果. 实验结果表明, 该方法具有较高的配准精度和重建效果, 算法稳健可靠.
Abstract:
Image registration is one of the key components in super-resolution reconstruction, and it directly affects the quality of the reconstructed image. On the basis of adaptive rood pattern search (ARPS) block-matching algorithm, and according to the correlation between various images in wavelet domain, an hierarchical block-matching algorithm --- improved adaptive rood pattern search algorithm based on wavelet transform (W-IARPS) is proposed. Searching matched-macroblocks in wavelet domain can effectively reduce the number of search points, and the ratio of peak signal to noise of registered images decreases less than 0.l dB compared to the exhaustive-search algorithm. It means that the high registration accuracy is guaranteed. Finally, the projections onto convex sets (POCS) method is used to reconstruct the super-resolution image from the registered images, and it can achieve better visual effects. The simulation results show that the algorithm has a high registration accuracy and reliable reconstruction results.
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