A method and device for image enhancement

Abstract

The invention discloses an image enhancement method and device, comprising: performing Gaussian blur on an original image to be enhanced to obtain a Gaussian blur image; performing subtraction operation on the original image and the Gaussian blur image to obtain a first high-pass filter image; Converting the original image into a grayscale image to obtain a first grayscale image; adjusting the brighter and darker areas in the first grayscale image to obtain a first pixel sharpening compensation value; The first high-pass filter image is multiplied by the first pixel sharpening compensation value, and then added to the original image to obtain a first sharpening image of the original image. The technical solution provided by the present invention can effectively suppress noise and enhance image layering while improving image clarity, thereby obtaining a more natural image enhancement effect.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image enhancement method and device. Background technique [0002] Image enhancement is an important part of image processing, which is widely used in resource exploration, agriculture, meteorology and other fields, and can effectively analyze and monitor target images. With the development of electronic technology, mobile phone users can take photos anytime and anywhere, and the requirements for photo quality are getting higher and higher. Image enhancement technology is also applied to the processing of photos to enhance the clarity of photos. [0003] In the prior art, images are generally enhanced by means of increasing contrast, or Laplace sharpening, or Unsharpen Mask (USM) sharpening. Although the first two methods can make the image appear sharper and the edges clearer, when the adjustment degree is high, the image noise will increase significantly an...

AI Technical Summary

Problems solved by technology

Although the first two methods can make the image appear sharper and the edges clearer, when the adjustment degree is high, the image noise will increase significantly and the image will become white; and when the adjustment degree is low, the sharpening cannot be well displayed. post image layering

The image enhancement effect obtained by using the USM algorithm is slightly better. It introduces a Gaussian filter as a low pass to compensate each pixel value of the image, but it will cause color distortion of the entire image after the sharpening operation, and the greater the sharpening degree , the color distortion is more obvious

In addition, the existing USM algorithm also has the problem of increased image noise. Since the image should not be sharpened, it is uniformly sharpened, resulting in an excessive increase in image noise in dark light.

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