bilinear interpolation image

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.

Reference: http://www.cnblogs.com/okaimee/archive/2010/08/18/1802580.html First, Introduction The object of digital image processing is more and more concerned because it involves all fields of society, and image scaling is especially important in

In mathematics, bilinear interpolation is a linear interpolation extension of an interpolation function with two variables, and its core idea is to perform a linear interpolation in two directions respectively. If you select a coordinate system so

recently learning the problem of rotation transformation in Digital image processing, it is found that after the rotation of the image there are some discontinuous points, so try to use bilinear interpolation method to solve. Here's how the

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

Original address: Dual linear interpolation algorithm for image scaling and performance optimizationA) transfer from http://handspeaker.iteye.com/blog/1545126A bilinear interpolation algorithm was recently used in programming to scale the image.

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

In the process of spatial transformation of images, the typical situation is that when the image is enlarged, the image will appear distorted. This is because in the image after the transformation there are some pixel positions that are not in the

Author: Fan yipeng When you do texture ing, do you often notice the obvious sertices displayed on the screen, and the texture pixels you use are too obvious? Now we will talk about how to solve this problem, and the method we use is to filter your

Reference: http://www.cnblogs.com/okaimee/archive/2010/08/18/1802585.html Absrtact: Interpolation algorithm is a basic and important problem in image scaling processing. There are many interpolation algorithms, the most commonly used are nearest