基于SIFT特征配准的多帧迭代盲解卷积算法Multi-frame iterative blind deconvolution based on the SIFT feature registration
宋向,耿则勋,王洛飞,魏小峰
摘要(Abstract):
在未配准的情况下,多帧图像解卷积算法不能发挥其利用多帧图像信息互补的优势,针对这种情况,本文将基于SIFT特征配准的算法引入多帧图像解卷积算法中,这一做法克服了各帧影像之间相同位置不同细节像素之间的影响,有效地提高了复原图像的质量。实际观测数据的复原结果证明了本文思想的正确性,配准后图像的复原结果更加清晰,且体现出观测目标更多的细节信息。
关键词(KeyWords): 大气湍流;湍流降质图像;尺度不变特征;图像复原;多帧图像解卷积
基金项目(Foundation): 国家863计划项目(2006AA12Z110);; 国家自然科学基金(60778051);; 测绘学院硕士学位论文创新与创优基金
作者(Author): 宋向,耿则勋,王洛飞,魏小峰
DOI: 10.16251/j.cnki.1009-2307.2011.06.040
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