Image amplification method and device, storage medium and terminal equipment

Abstract

An embodiment of the invention relates to the technical field of image processing, and discloses an image amplification method, which comprises the following steps of: expanding an original image to obtain an expanded image; acquiring the magnification times in the first direction and the magnification times in the second direction; acquiring and storing a mapping coefficient in the first direction; performing interpolation in the first direction on the expanded image to obtain a first output image; acquiring and storing a mapping coefficient in the second direction according to the magnification times of the second direction; and performing interpolation in the second direction on the first output image to obtain a target image. According to the image amplification method, the image is expanded and the mapping is improved, so that all pixel values in the target image can be acquired by adopting a unified calculation method, only one corresponding module needs to be designed in a hardware implementation process, the use of logic resources is reduced, and the calculation redundancy of two-dimensional interpolation is reduced by splitting two-dimensional interpolation of bilinear interpolation into two one-dimensional interpolation.

Description

Technical field [0001] The present invention relates to the technical field of image processing, in particular to an image magnification method, device, storage medium and terminal equipment. Background technique [0002] There are many ways to achieve image magnification, and most of them are achieved through interpolation operations. Commonly used methods include nearest neighbor interpolation, bilinear interpolation, and bicubic interpolation. Among them, the implementation method of nearest neighbor interpolation is the simplest, but the enlarged image will produce a more obvious jagged effect, and the amplification effect is poor; the bicubic interpolation effect is excellent, but its computational complexity is too high and the hardware implementation is difficult; double-line The linear interpolation can eliminate the sawtooth effect to a large extent, the amplification effect is better, and the computational complexity is low, which can meet most application requirements,...

AI Technical Summary

Problems solved by technology

[0013] The embodiment of the present invention aims to provide an image magnification method, device, storage medium and terminal equipment, which solves the problem that in the hardware implementation process of the existing image magnification method, too many multipliers need to be used and more logic resources are occupied , a technical problem with a large amount of computation

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