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Transferred from: http://www.cnblogs.com/yingying0907/archive/2012/11/21/2780092.htmlInterpolation is the process or method of finding unknown data through known discrete data in mathematical field numerical analysis.According to some discrete data,
Python implements numerical computation-hermit interpolation, and python Interpolation
When the requirements for interpolation involve the requirements for the derivative of the interpolation function, the normal interpolation problem becomes the
Common interpolation methods
1. Nearest Element Method
This is the simplest method of interpolation and does not need to be calculated. In the four adjacent pixels of the desired pixel, the gray scale of the adjacent pixel closest to the desired
Things are continuous, and time is continuous... the real world is mostly continuous.
However, we can only observe discretization for two reasons:
1. If the storage space required for consecutive records is too large, it is like the records cannot
In the field of scientific computing, spatial interpolation is a common important algorithm. Many related software have built-in algorithms.The Surfer software of godensoftware is very representative and has built-in comprehensive spatial
Discrete point interpolation, contour drawing and smoothing techniques
LV Yongping Dai jingru
(Guangdong Institute of climate application, 510080)
As the isoplot looks very intuitive and visual, it has become an indispensable tool for forecaster
The last time we talked about how to use the DIB method to retrieve the pixels of an image. From this time on, we will use the obtained pixels to process the image.There are many methods for interpolation and amplification of images, mainly
Introduction to common interpolation methods
Inverse Distance to a Power (inverse distance weighted interpolation), "Kriging (kriging)", "Minimum curvature (minimum curvature)", "Modified Shepard" s method (improved Xie de) "," Natural
"Half paper" refers to the small ones that I know can be implemented but can't be done.ArticleThere is no fame or reputation. I am not interested in achieving this. But if you are interested, we can discuss related topics. This article is based on a
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