基于提升小波的光流估计算法
Optical Flow Estimation Algorithm Based on Shift Wavelet Transform
DOI: 10.12677/GST.2017.52006, PDF, HTML, XML, 下载: 1,687  浏览: 3,215  科研立项经费支持
作者: 耿利川, 耿则勋：许昌学院，城乡规划与园林学院，河南 许昌；许昌学院，无人机低空遥感技术协同创新中心，河南 许昌
关键词: 提升小波；运动估计；光流；多分辨分析；Wavelet Transform； Motion Estimation； Optical Flow； Multi-Resolution
摘要: 针对光流估计算法在图像间的位移量较大时，配准精度不高的问题，提出了提升小波多分辨分析图像光流估计算法。利用提升小波对视频图像进行多层小波分解，对不同尺度上图像进行光流估算，提高了光流估计算法在位移量较大时的配准精度。实验结果表明，该算法能够快速实现小位移和准确的实现大位移的运动估计，验证了本文算法的正确性。
Abstract: In order to improve the estimation precision of displacement among low resolution images, a wavelet based optical flow estimation algorithm is promoted. We calculated the image optical flow at different scales to improve the registration accuracy of optical flow estimation algorithm with large displacement. The results show that this improved algorithm achieves high precision pixel displacement estimation.
文章引用：耿利川, 耿则勋. 基于提升小波的光流估计算法[J]. 测绘科学技术, 2017, 5(2): 40-46. https://doi.org/10.12677/GST.2017.52006

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