阐述了一种沿边缘方向进行图像插值的缩放算法，并提出了基于该算法的一种视频缩放器电路的设计方案。
An image scaling algorithm based on edge direction interpolation was proposed, and a video scalar architecture was designed.
使用步骤2中的相同算法，这些函数也可以内部地将数据值按比例从一个范围缩放到另一个范围。
These functions also internally scale data values from one range to another, using the same algorithm in Step 2.
使用步骤2中的相同算法，这些函数也可以内部地将数据值按比例从一个范围缩放到另一个范围。
These functions also internally scale data values from one range to another using the same algorithm in step2.
实验表明，该算法对于噪声、旋转、缩放和JPEG压缩等常见攻击有良好的鲁棒性。
Experiment shows that the algorithm is resist in common watermarking attacks suck as noise, rotate, resize and JPEG compression.
实验结果表明，该算法对JPEG压缩及图像剪裁、缩放、滤波有较好的鲁棒性，特别对于基于小波压缩算法的图像具有很好的鲁棒性。
The experiments show that the blind watermarking algorithm is robust in JPEG image compression, image clipping, image scaling and image filtering, especially in wavelet image compression.
实验结果表明，该算法能有效地抵抗分数平移和幅度缩放两种去同步攻击。
The simulation results show that this algorithm can resist translation and scaling attacks effectively.
在基本文本渲染算法上增加字距调整非常简单，当一个字距调整对发现了，简单地在第4步前，将缩放后的调整距离增加到笔位置即可。
Adding kerning to the basic text rendering algorithm is easy: When a kerning pair is found, simply add the scaled kerning distance to the pen position before step 4.
实验证明，算法对图像的亮度变化、缩放、旋转具有不变性，有较高的检索性能。
Experimental results show that the algorithm has the robustness against illumination changes, position translation, scale and rotated image and a superior image-retrieving performance.
算法不仅能适应目标物体在旋转、缩放、平移变换下的不变性识别。而且能适应仿射及射影变换下的不变性识别。
The algorithm can adapt to object recognition, invariant not only under rotation? Scaling? Translation, but under affine and projective transformation.
在此基础上根据自主设计的BSB花样格式的特点，重点进行了花样缩放、花样旋转和花样镜像算法的设计。
On this basis, according to the features of BSB format, which is designed by ourselves, I focus my energy on the algorithms design of patterns'zooming, rotating and mirroring.
实验结果表明，该算法不仅具有较好的透明性，而且对缩放、剪切、JPEG或JPEG2000压缩等图像退化处理或攻击均具有较强的鲁棒性。
Experimental results prove that the method is invisible and robust enough against some image degradation processes such as resizing, cropping, JPEG or JPEG2000 compression.
因此，该算法能有效地实现图像插值，适应于实时条件下的图像缩放。
So the algorithm can effectively interpolate images and adapts to real-time image resizing.
实验结果表明，该算法对均匀缩放、旋转、平移等几何攻击以及增添攻击具有完全的健壮性；
This algorithm is fully robust against the increase attacks and geometric attacks such as translation, rotation, equal scaling and so on;
针对具有平移、旋转、缩放变换的序列图像连续拼接，提出一种将基于区域特征的配准算法和基于灰度交叉相关的配准算法相结合的拼接算法。
A new stitching algorithm based on area feature and cross correlation for the sequence image with transformation of translation, rotation and isometric scaling is proposed.
在研究单处理器动态电压缩放和多处理器的PF调度算法的基础上，提出了一种多处理器节能调度算法。
In this paper, a scheduling algorithm is proposed for the multiprocessors based on dynamic voltage scaling algorithm and PF algorithm.
实验中以CDF 9/7二维离散小波变换为例，对于JPEG 2000中推荐使用的5级小波分解，本文算法相对于原空间组合推举算法的缩放运算乘法量减少了34。
Using 5-level CDF9/7 2-D discrete wavelet transform recommend in the standard of JPEG2000, the multiplication operation for scaling in the algorithm is decreased by 34.
图形的交互式编辑部分主要研究了图元的拾取算法和使用变换矩阵实现对图元的旋转、比例缩放和平移等二维变换。
As for the interactive graphic editing, the article mainly focuses on graphic element collect algorithm and two-dimension transformation such as rotation, scale and translation using convert matrix.
传统的插值算法缩放时容易引起边缘锯齿或细节模糊现象。
Traditional interpolation algorithms will blur the edge part in the image when it is scaled.
人耳的角度变化和遮挡是人耳识别中的难点问题，SIFT局部描述算子具有对图像尺度缩放、平移、旋转等的不变性，因此提出利用SIFT特征的人耳识别算法。
The variety of ear angle and occlusion are the difficulties of ear recognition. The Scale Invariant Feature Transform(SIFT) is invariant to image scaling, translation and rotation.
实验结果验证了该算法的高效性，对存在旋转、尺度缩放、视角以及光照变化的图像都具有良好的效果。
The experimental results show that it greatly improves the efficiency of stitching and can achieve good performance for images with rotation, scale, viewpoint and illumination change.
由于SIFT特征对旋转和缩放具有不变性，该算法利用SIFT提取图像的特征点。
As SIFT features are invariant to rotation and scaling, we employ SIFT to extract feature points.
获取多种图形匹配算法的性能数据，从量上展示出比例缩放匹配算法的超高性能。
Investigate the performance data of different graphics matching algorithms, and dramatically show high acceleration after adopting graphics scaling matching algorithm.
通过实验表明，该算法对于压缩、噪声、滤波、缩放等攻击具有一定的鲁棒性。
The experimental results indicate that this algorithm is robust to compression, noise, filtering and geometric distortion.
实验表明，改进后的算法继承了SIFT算法对图像缩放、旋转等不变性，而且增强了图像对视角的仿射不变性，极大地改善了匹配效果。
The experimental results show that this algorithm is as robust as SIFT, but also acquires good performance on affine invariance of view point change, improves matching results greatly.
图像缩放通常由插值算法实现。
该算法使用角作为图像匹配选取的特征，通过仿射不变处理，消除图像缩放、扭曲、旋转和平移等变化产生的影响，提高了特征匹配的精度和正确匹配率。
It selected corners as features, removed influence of image stretch, skew, rotation, and translation by calculating affine invariant, so matching accuracy and speed were improved.
该算法使用角作为图像匹配选取的特征，通过仿射不变处理，消除图像缩放、扭曲、旋转和平移等变化产生的影响，提高了特征匹配的精度和正确匹配率。
It selected corners as features, removed influence of image stretch, skew, rotation, and translation by calculating affine invariant, so matching accuracy and speed were improved.
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