Abstract: interpolation algorithms are a basic and important issue in image scaling. There are many kinds of interpolation algorithms, including nearest neighbor interpolation, bilinear interpolation, and cubic convolution interpolation. This paper
Absrtact: Interpolation algorithm is a basic and important problem in image scaling processing. There are many interpolation algorithms, the most commonly used are nearest
Three Common two-cube interpolation algorithms for image processing and image processing
Three Common two-cube interpolation algorithms for image processing
The two-cube interpolation involves 16 pixels. ('', J') indicates that the pixels to be
The interpolation function in MATLAB is interp1. The Calling format is: Yi = interp1 (X, Y, XI, 'method ')
Where X and Y are interpolation points, Yi is the result of interpolation at the interpolation point XI; X and Y are vectors, and 'method'
Assume the source image size is MXN and the target image is AXB. Then the Benchambi of the two images were: m/a and n/b. Note that this ratio is usually not an integer, and that the programming store uses floating-point types.
What is bilinear interpolation?
For exampleOriginal numerical sequence: 0, 10, 20, 30, 40Linear interpolation: 0, 5, 10, 15, 20, 25, 30, 35, 40That is, the change (increase or decrease) is linear, and a straight line can be drawn on the coordinate
What is bilinear interpolation
Simple analogyOriginal sequence of values: 0,10,20,30,40Linear interpolation once is: 0,5,10,15,20,25,30,35,40That is, the change (increase or
From: http://blog.csdn.net/swimmingfish2004/article/details/7312361Lanczos Algorithm analyse
The Lanczos image scaling algorithm, which we studied at the company, is sorted out today to share with you the source code of Lanczos resize in imagemagic.1
Turn: Http://blog.csdn.net/swimmingfish2004/article/details/7312361Lanczos algorithm AnalyseIn the company when the Lanczos image thumbnail algorithm, sorted out today to share, analysis is imagemagic inside the Lanczos resize source code.1
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
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