Image sharpening method and device

Abstract

Embodiments of the present invention provide an image sharpening method and device. Wherein, the method includes: performing bilateral filtering processing and Gaussian difference filtering processing on the original image information respectively to obtain the first layer information and the second layer information; subtracting the original image information from the first layer information to obtain the third image layer information; the second layer information and the third layer information are fused and superimposed to obtain the fourth layer information; the original image information and the fourth layer information are added to obtain the processed image information. The technical solution of the invention combines bilateral filtering and Gaussian difference filtering for image sharpening, reduces or even eliminates the halo effect of the high-contrast edge of the image, and improves the image sharpening effect.

Description

technical field [0001] The invention relates to image processing technology, in particular to an image sharpening method and equipment. Background technique [0002] The hardware problems of the camera itself or the processing of some image algorithms (such as image smoothing algorithms) often make the boundaries or outlines in the image blurred. Image sharpening is a method for compensating the outline of an image, enhancing the edges and grayscale transitions of the image, and making the image clear. From the perspective of the frequency domain, the image becomes blurred because its high-frequency components are attenuated. Therefore, the idea of ​​image sharpening is to use a high-pass filter to extract the high-frequency information in the image, and then superimpose the extracted high-frequency information on the original image. on the image to make the image clear. [0003] At present, the commonly used image sharpening method is to use the high-pass filter of the La...

AI Technical Summary

Problems solved by technology

However, after this method superimposes the image after the Laplacian operator with the original image, overshoot and undershoot often appear at the bright and dark boundaries, and this phenomenon is manifested in the image at the edge of black and white. "White edge" and "black edge", that is, there will be a halo effect, and the image sharpening effect is poor

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