沿边缘的色度插值会产生明显的光晕伪像。
The chroma interpolation along edges produces noticeable haloing artifacts.
介绍了一种改进的PDE边缘保持图像插值算法。
It presents an improved edge-preserving interpolation algorithm based on solving PDE.
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。
Through summarizing and analyzing various methods' characters and shortages, this paper proposes an image interpolation method based on ramp edge model.
同时对多项式插值亚像素边缘检测方法进行了初步的研究。
And the method of the polynomial interpolation for sub-pixel edge measure was also studied elementarily.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
采用传统插值法放大的图像存在边缘锯齿化和边缘模糊化缺点。
The images magnified by traditional interpolation method have shortages such as blurred edges and jagged edges.
基于斜坡边缘模型的经典插值方法把所有边缘归为强边缘，导致弱边缘过分增强而失真。
Classical interpolation method based on ramp edge model considers all the edges as strong edges, which results in weak edges' distortion.
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。
Image interpolation is an important technique of image processing. The blur and jaggy of image details or edges are inevitable during conventional image interpolation.
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.
针对平移线性插值算法存在的边缘锯齿问题，提出一种基于图像统计特征的平移线性插值方法。
To remove zigzag edges occurring in shift-linear interpolated image, this paper proposes an improved method based on the statistical features of the image.
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。
An image interpolation algorithm based on image edge information can be elicited from dividing image into no-edge areas and edge areas.
插值过程中利用了人眼的视觉特性，能够更精确地得到图像的亮度信息和边缘信息。
Based on the characteristics of human visual system in the interpolation process, the more accurate brightness information and edge information of the image can be obtained.
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.
研究表明，运用该算法插值获得了边缘清晰的目标图像，且该算法复杂度低，便于硬件实现。
The results show that our proposed algorithm achieves vivid edges of target images, and has lower computation complexity and easy for hardware implementation.
并提取一定灰度值的光斑圆周插值点，作为圆形光斑边缘。
The circular interpolated points with given gray-value are extracted as the verge of the spot.
在已有经验模式分解的过程中，由于常用三次样条插值来拟合信号的上下包络，因此时常会出现边缘效应，从而影响了信号处理的质量。
Cubic spline interpolation is used to create the upper and lower envelopes in traditional EMD process, which has worse behavior at the edges, and influences the quality of signal process.
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。
This method of image interpolation can adaptively adjust interpolation weight according to the complexity of image neighbourhood of mapping point in edge areas.
本发明提供一种在插值时既考虑距离因素的同时考虑了边缘因素的基于样条函数插值算法的图像放大方法。
The invention provides an image magnification method of calculating the distance factor and the edge factor based on the spline interpolation in interpolating.
为了解决这一问题，提出了一种新的基于误差修正的自适应边缘保持插值算法。
To solve these problems, a new algorithm for image interpolation based on error correction was proposed. Firstly, map the original image to the interpolation image.
实验结果表明，该算法能够很好地解决图像插值中的边缘锯齿现象问题，且不会产生其他明显的人工痕迹。
Simulation results show that the proposed method produces fewer jaggies, and it doesn't introduce other obvious artifacts.
然后用三次样条法拟合剖面边缘曲线并插值采样，把立体树冠分解成许多微小的切片分别求体积和表面积，依次累加就得到所需结果。
These data are fit with method of spline and resampled to divide crown into many small slices, whose volume and surface add up to the result.
提出了结合图像边缘处理的双三次样条函数插值算法。
The processing of cubic spline function of extreme point with infinite derivate;
提出了结合图像边缘处理的双三次样条函数插值算法。
The processing of cubic spline function of extreme point with infinite derivate;
应用推荐