SubImage Index 子图像索引
Subimage Feature Fusion 子图像特征融合
Target subimage 目标子图像
latent subimage 亚潜像
subimage blocks 子图像块
candidate subimage 候选子图像
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Compared with the usual method based on single reference subimage, the new method has a lot larger measuring range.
与常用的基于单一参考子图像的波前重构方法相比,新方法的动态范围有了很大提高。
According to the degraded image and the ideal subimage, a filter is designed by using multiple regression analysis and then applied to restore the whole image.
根据模糊图象和估计的理想图象,利用多元回归分析设计滤波器,最后将滤波器应用于整幅图象完成图象的复原。
This paper puts forward the trademark image retrieval algorithm based on the subimage feature fusion, and does research on the subimage feature fusion criterions.
本文提出了基于子图像特征融合的商标图像检索算法,并对子图像特征融合准则进行了研究。
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