• 是因为运动估计执行子像素分辨率

    This is because motion estimation is performed to sub-pixel resolution.

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  • 方法简单有效可以达到子像素级配准精度

    The proposed approach is simple and effective, it can achieve an accuracy up to sub-pixels.

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  • 但是1经过运动补偿像素具有像素位置误差

    But the motion compensated pixels in frame 1 have sub-pixel positional errors.

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  • 方法精度通过像素的特征提取交会得到的。

    In the proposed strategy, matching accuracy is enhanced by sub pixel interest point extraction and multi ray traingulation.

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  • 增加拍照照片体面的打印质量子像素摄像头照片分辨率

    Increase resolution of cameraphone photos and photos taken with sub-megapixel cameras for decent print quality.

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  • 第一电极分配三个像素中的两个第二寻址电极被分配给其余像素

    The first address electrode is assigned to two of the three sub-pixels and the second address electrode is assigned to the remaining sub-pixel.

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  • 手机子像素摄像头拍出照片主要问题分辨率,这不可能使这些照片达到可打印质量

    The major problem of photos taken with cameraphones or sub-megapixel cameras is low resolution which makes it impossible to make quality prints from such photos.

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  • 手机或子像素摄像头照片的主要问题是分辨率低,这不可能使这些照片达到可打印质量

    Increase resolution of cameraphone photos and photos taken with sub-megapixel cameras for decent print quality.

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  • 论文提出了一种基于嵌入式系统的快速像素搜索算法以及视频编码算法相结合的运动物体检测算法。

    This paper presents an embedded system based on the rapid-pixel search algorithm, as well as video coding algorithm combining the moving object detection algorithm.

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  • 全局对齐中,则使用基于光全局优化方法子像素级进行精确对齐,由于初值准确,因此全局算法迅速收敛

    In the process of global alignment, because the initial value generated by the local alignment is close to the optimum one, the iterated algorithm could converge quickly.

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  • 使用图像 6,000x 3,000像素因此读取getwidthgetheight 例程for 循环之前完成的,这样可以显著提高速度

    Images used in this example are 6,000 x 3,000 pixels, so reading from the getwidth and getheight subroutines is done before the for loops for a significant speed increase.

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  • 复杂渐变用那些简单的120像素宽的按钮(页面中的“ACTIVATE”和“LEARN MORE”)上,因为它们需要访客注意的重点。

    The most complex gradients on the website are found on simple 120 pixel-wide buttons that are intended to grab attention.

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  • 中取出数据点密度较大像素组成样本块。

    Then select certain larger density pixels in each subset to construct corresponding swatch.

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  • 原始图像数据经过波变换后,根据系数之间空间方向上呈现出带间相似性,将像素集合重新定义集合

    After the DWT of the original image data, and according the similarity between the band shown by subband coefficients in the space and the direction, the collection of pixels is redefined as set tree.

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  • 然后低频进行多重分形特性分析,再将多重分形作为特征参量进行像素筛选,筛选出标志不同景物像素点。

    Then, multifractal analysis is performed for low frequency sub-band. The multifractal spectrum is used as the characteristic parameters to filter pixels which mark different scenery.

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  • 三个查找表色彩校正像素叠加采样多功能

    Three LUTs, color correction, binning, sub-sampling and more features.

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  • 然后图内像素灰度低阶多项式表示,最小二乘准则以多项式逼近图像图像。

    Then, the image grey level of every subimage is approximated by low-order polynomial according to least-square criterion.

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  • 然后图内像素灰度低阶多项式表示,最小二乘准则以多项式逼近图像图像。

    Then, the image grey level of every subimage is approximated by low-order polynomial according to least-square criterion.

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