interpolation of images

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

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

Numerical calculation refers to the algorithm in the field of numerical analysis. Numerical analysis is a special study of data problems related to numerical and approximate values, and numerical calculation plays a particularly important role in

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

bilinear interpolation 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

Reference: Http://www.cnblogs.com/okaimee/archive/2010/08/18/1802573.html 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

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

Recently in the video splicing project, which used the image of the single-matrix transformation, in the final image remapping, because the target image coordinates are non-integers, so need to use the interpolation method, with bilinear

The bottom of the pyramid is a high-resolution representation of the image to be processed, while the top is a low-resolution approximation. We liken a layer of image to a pyramid, the higher the level, the smaller the image, the lower the