Image sharpening method and device

Abstract

An embodiment of the invention provides an image sharpening method and device. The method comprises the steps of respectively conducting bilateral filtering processing and gaussian difference filter processing on original image information to obtain first image layer information and second image layer information; substracting the original image information from the first image layer information to obtain third imager layer information; conducting fusion overlapping processing on the second image layer information and the third image layer information to obtain fourth image layer information; adding the original image information to the fourth image layer information to obtain processed image information. According to the technical scheme of the image sharpening method and device, the bilateral filter and gaussian difference filter are well fused and then image sharpening is conducted, the halo effect of high contrast image edge is reduced or even eliminated, and the image sharpening effect is improved.

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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