Image interpolation method and image interpolation device

Abstract

The invention discloses an image interpolation method and an image interpolation device. The image interpolation method includes: performing interpolation zero padding on source image pixels to form upper sampling images; acquiring benchmark interpolation kernels by the aid of the upper sampling images; performing convolution on the source image pixels, the benchmark interpolation kernels and direction displacement coefficient matrixes and performing benchmark kernel interpolation based on direction displacement. According to the image interpolation method and the image interpolation device, the direction displacement matrixes are introduced on the basis of diagonal double cubic interpolation, so that the benchmark interpolation kernels are invariant, the matrixes are displaced according to the convolution direction, the interpolation images are favorably optimized in all directions, continuity of image content is taken into consideration, and distortion of high-frequency details of image edges and the like is avoided.

Description

technical field [0001] The present disclosure relates to the field of image processing, and in particular to an image interpolation method and an image interpolation device. Background technique [0002] In the field of image processing, image interpolation is a common image processing method. Simply put, image interpolation is to use the gray value of known adjacent pixels to generate the gray value of unknown pixels, so as to generate an image with higher resolution from the source image. Traditional image interpolation methods focus on image smoothing to achieve better visual effects, but such methods often lead to blurred edges of images while maintaining image smoothness, and image edge information is an important factor affecting visual effects. [0003] For example, as the simplest interpolation method, the nearest neighbor method, among four adjacent pixels of the pixel to be interpolated, assigns the gray value of the adjacent pixel closest to the pixel to be inter...

AI Technical Summary

Problems solved by technology

[0015] In view of the above-mentioned problems existing in the prior art, the inventor proposes an image interpolation method and an image interpolation device, which can reduce or even eliminate traditional image interpolation methods that are prone to distortion in high-frequency areas such as object edges or details in the image. And in the case of ensuring the image quality, it reduces the computational complexity and the software and hardware resources that may be occupied

Images