Description: 灰度双线性插值,缩放图像。可以对图像进行几乎无损的小倍数放大,倍数大时有损。-Gray bilinear interpolation, zooming the image. Can be almost non-destructive image to enlarge small multiples, multiples of large detrimental. Platform: |
Size: 1024 |
Author:杜少峰 |
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Description: 数字图像处理中,灰度图像的放大、缩小,平移和旋转功能实现的源代码,分别采用最近邻插值法和双线性插值方式实现。-Digital image processing, the gray-scale image to enlarge, narrow, pan and rotate functions of the source code, respectively, using nearest neighbor interpolation and bilinear interpolation way. Platform: |
Size: 69632 |
Author:caonimabitoo |
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Description: 关于利用双线性插值法放大灰度图像的Matlab程序,效果还行,可供相关研究人员参考!非原创-Bilinear interpolation on the use of gray-scale image to enlarge Matlab procedures, the results were OK, for the relevant research references! Non-original Platform: |
Size: 50176 |
Author:zhangwenbo |
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Description: 1.设计一个程序,对一幅灰度图像的实现如下几何变换,1)放大为原图1.5倍 2)绕中心旋转30度(CW) 3)采用偏移量插值实现一个透视变换. 灰度差值用最近邻插值和双线性插值
2. 绘制一幅灰度图像的梯度幅度图像(三点法求梯度),针对梯度幅度图像合理的选择一个阈值(通过试验即可)将其二值化,以获得图像边缘检测图像。-(1) design a program, a grayscale image as geometric transformation, zoom 1) for 1.5 times the original 2) around the center of rotation of 30 degrees (CW) 3) interpolation of the offset to achieve a perspective transformation.gray level difference between the nearest neighbor interpolation and bilinear interpolation
(2) draw a grayscale image of the gradient magnitude image (three-point method seeking gradient), the gradient magnitude image is reasonable to select a threshold value (the test can be) the second value to the image edge detection image. Platform: |
Size: 291840 |
Author:Xucheng |
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Description: 双线性插值是指利用映射点在输入图像的4 个邻点的灰度值对映射点进行插值,即待插点处的数值用离待插点最近的四个点的值加权求得。在同一行内根据待插值像素点与其前后的原图像像素点的位置距离进行加权线性插值,即离原图像像素点越近的待插值像素点,原图像像素的加权系数就越大 行间根据待插值行与其上下的原图像行间的距离进行加权线性插值,即离原图像行越近的待插值行,原图像行的加权系数就越大-Bilinear mapping point is the use of four adjacent points in the input image gray value interpolation to map points, namely at the point to be interpolated values to be interpolated point values using weighted to obtain the most recent four points. In the same row based on the location of the original image pixel to be interpolated pixel and its front and rear of the distance-weighted linear interpolation, that is the original image pixels near the pixel to be interpolated, the weighting coefficients of the original image pixel is greater between the lines according to distance to be interpolated image lines up and down the line to its original weighting between the linear interpolation, that is farther away the original image near the line to be interpolated, the weighting coefficients of the original image lines, the greater the Platform: |
Size: 53248 |
Author:毛巴马 |
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Description: 遥感影像的几何纠正,通过输入同名点文件计算多项式纠正系数,可通用,再通过双线性插值实现几何纠正-list on two images, this method can be use to any sitution if you already choose the corresponding points, and then bilinear interpolation to get the gray value Platform: |
Size: 1024 |
Author:1987勇往直前 |
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Description: 基于控制点的图像配准。选用多项式几何校正模型获得配准参数,双线性内插进行灰度插值。-Image registration based on the control points. Selection polynomial geometric correction model to obtain registration parameters, bilinear interpolation gray interpolation. Platform: |
Size: 1024 |
Author:侯郁 |
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Description: 演示验证灰度重心法寻找标记中心,采用迭代逼近灰度中心。如果需要精细控制则建议结合双线性插值算法。-Demonstration of gray center of gravity method to find the center of the mark, the iterative approach to the gray center. If the need for fine control is recommended combined with bilinear interpolation algorithm. Platform: |
Size: 337920 |
Author:xft |
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Description: 利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象,从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进,并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。-The reconstructed image obtained by wavelet bilinear super- resolution reconstruction algorithm will appear the phenomenon of low and high frequency coefficients mismatch, which makes the high- resolution image gray- scale shift. In this paper, the method is improved, and the local adaptive interpolation is introduced to obtain a more ideal reconstruction algorithm. A Wavelet and Local Adaptive Interpolation Algorithm. Platform: |
Size: 237568 |
Author:tunshimiwang |
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Description: 1. Image reduction:
? Alternative line reduction
? Fractal linear reduction to reduce images to any smaller size
2. Use two images to perform image enlargement:
? Pixel replication
? Nearest enlargement
? Bilinear interpolation
? Bicubic interpolation
? Fractal linear expansion to expand images to any larger size
3. Perform negative image operation
? On gray images
? On color images(1. Image reduction.
2. Use two images to perform image enlargement.
3. Perform negative image operation.) Platform: |
Size: 1080320 |
Author:韩小贺 |
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Description: 利用双线性插值,获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation) Platform: |
Size: 13614080 |
Author:妖若仙 |
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