一种无人机影像滤波分频拼接算法

针对无人机影像拼接处理中易产生鬼影、拼接缝等问题，提出一种基于滤波分频的无人机影像拼接算法。首先利用高斯低通滤波将已配准的无人机影像对分解成高频、低频影像；然后对低频影像采用加权平滑融合算法进行拼接，基于改进的动态规划算法搜索最优拼接线完成高频影像的拼接；最后将拼接好的高频、低频影像线性合成得到最终的拼接影像。实验表明，本文提出的算法可以较好地解决无人机影像拼接过程中出现的鬼影问题，最大化地避免拼接缝的出现，而且对亮度差异明显的无人机影像对也能取得良好的拼接效果。

A Mosaic Method for UAV Images Based on Filtering

This paper proposes a mosaic method for UAV images based on filtering, which can eliminate ghosting and seams in the mosaicking process. The UAV images are decomposed into high-frequency components and low-frequency components by a Gaussian low-pass filter. Various mosaic schemes are designed to accomplish the stitching process. For the low-frequency components, weighted blending rule is utilized to achieve smoothing transition. An improved optimal seam searching strategy based on dynamic programming is introduced to guide the stitching of high-frequency components. The mosaic result is produced by linearly composing all stitching results from different components. Experimental results demonstrate the effectiveness of the proposed method in avoiding visible stitching seams and ghosting effects, especially in the cases of intensity differences.