Furthermore, the method still preserves the simplicity and efficiency of conventional image interpolation methods, and is easy for implementation and application.
此外，该算法还保持了传统插值算法简单有效的特点，实现和应用起来都比较方便。
Image resizing changes image resolution via resampling the source image according to color information and other features, also known as image resampling or image interpolation.
图像缩放即改变图像的分辨率，就是根据源图像的像素分布和各种特征，重构出新分辨率下目标图像的像素颜色值，也称为图像重采样和图像插值。
Image scaling is implemented through image interpolation.
图像缩放通常由插值算法实现。
Remote sensing image interpolation will be beneficial to solving those problems.
遥感图像插值对解决这些问题起到很好的作用。
Gray scale image interpolation is a preprocessing step for volume rendering in medicine.
灰度图像插值是体绘制的预处理步骤。
An image interpolation algorithm based on max-relativity of multiple directions is presented in this paper.
提出了一种基于图像多方向最大相关性的数字图像插值算法。
Therefore, two algorithms are proposed respectively in image interpolation and frame rate up-conversion in this thesis.
为此，本文分别在图像插值和帧率提升两方面进行了研究。
Based on this fact, the second algorithm is proposed, which translates the image interpolation problem into an optimization problem.
基于这个事实，本文提出的第二种插值算法，就是将图像插值问题转化为一个最优化问题来求解。
An image interpolation algorithm based on image edge information can be elicited from dividing image into no-edge areas and edge areas.
通过将图像分为非边缘部分和边缘部分，得出了一种基于图像边缘信息的图像插值算法。
By extending the normal based subdivision scheme for curve and surface design, a new algorithm for image interpolation is proposed in this paper.
将基于法向的曲线细分技术应用到图像插值中，提出一种基于细分的图像插值算法。
Through summarizing and analyzing various methods' characters and shortages, this paper proposes an image interpolation method based on ramp edge model.
通过总结和分析各算法的特点和不足，我们提出了基于斜坡边缘模型的图像插值方法。
This method of image interpolation can adaptively adjust interpolation weight according to the complexity of image neighbourhood of mapping point in edge areas.
根据边缘部分映射点邻域图像的复杂程度，自适应地调节插值权值的图像插值方法。
Image interpolation is an important technique of image processing. The blur and jaggy of image details or edges are inevitable during conventional image interpolation.
图像插值是图像处理的一项重要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。
After comparing and analyzing several commonly used interpolation algorithms, we use the linear gray-based slice-image interpolation method to improve the quantity of 3d visualization.
通过比较分析几种常用的插值算法，采用基于灰度的线性插值方法对断层图像进行插值，有效地提高了三维重建的质量。
Image interpolation is an important task in the field of digital image processing. It is fundamental to many digital image operations, such as scaling, rotation, and geometric correction.
图像插值是数字图像处理领域的一项重要任务，是图像缩放、旋转、几何矫正等图像操作的基础。
Image interpolation is an important task in the field of digital image processing. It is fundamental to many digital image operations, such as scaling, rotation, and geometric correction.
图像插值是数字图像处理领域的一项重要任务，是图像缩放、旋转、几何矫正等图像操作的基础。
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