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An image enhancement method, device, equipment and storage medium

An image enhancement and image technology, applied in the field of image processing, can solve problems such as feature enhancement that cannot be of interest, and achieve the effect of noise suppression

Active Publication Date: 2021-11-09
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Due to the limitations of the filtering method, the above method cannot enhance all the features of interest in the target image

Method used

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  • An image enhancement method, device, equipment and storage medium
  • An image enhancement method, device, equipment and storage medium
  • An image enhancement method, device, equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0029] figure 1 It is a flow chart of an image enhancement method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where it is necessary to enhance both small feature points in the image and edge features of the image during the image enhancement process. The method can be performed by an image enhancement device, such as figure 1 As shown, the method of this embodiment specifically includes:

[0030] S110. Set at least two filter kernels of different sizes, wherein the filter kernels of different sizes respectively correspond to features of the target image at different scales.

[0031] In this embodiment, in order to enhance the features of interest in the target image (that is, the original image) as much as possible, it is preferable to use filter kernels of different sizes to perform enhancement processing on the target image, wherein the more interesting features in the target image are The more, the more filter kernels ...

Embodiment 2

[0045] Figure 2a It is a flowchart of an image enhancement method provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment may optionally perform image enhancement processing on the acquired target image based on the at least two filter kernels, and generate a smooth image and an enhanced image corresponding to each filter kernel, including: based on the at least two filter kernels Two filter kernels of different sizes filter the acquired target image respectively to generate at least two corresponding smooth images; the pixel intensity of the target image is compared with each smooth image point by point to generate processing images corresponding to filter kernels; performing image enhancement on each processed image to generate enhanced images corresponding to each filter kernel. Further, it is optional to perform image enhancement on each processed image, and generate an enhanced image corresponding to each filte...

Embodiment 3

[0068] image 3 It is a flow chart of an image enhancement method provided by Embodiment 3 of the present invention. In this embodiment, on the basis of the foregoing embodiments, the optional filter kernel is an average filter kernel or a bilateral filter kernel. Further, optionally, selecting a smooth image includes: comparing the sizes of the filter kernels, and determining the smooth image corresponding to the filter kernel with the largest size as the smooth image satisfying the preset condition. Further, before reconstructing the selected target image and / or one of the smoothed images and each enhanced image, the method further includes: performing gray balance processing on the selected one of the smoothed images. Such as image 3 As shown, the method of this embodiment specifically includes:

[0069]S310. Set at least two filter kernels of different sizes, wherein the filter kernels of different sizes respectively correspond to features of the target image at differ...

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Abstract

The embodiment of the present invention discloses an image enhancement method, device, device, and storage medium, wherein the image enhancement method includes: setting at least two filter kernels of different sizes, wherein the filter kernels of different sizes correspond to target images at different scales The following features; the target image is processed based on at least two filter kernels of different sizes, and a smooth image and an enhanced image corresponding to each filter kernel are generated; the target image and / or a smooth image are selected, and the selected target image and / or Or a smoothed image is reconstructed with each enhanced image to generate an enhanced final image. The embodiment of the present invention solves the problem that the existing image enhancement method can only enhance the features in one space of the target image, and the problem that the noise cannot be effectively suppressed, and achieves the problem of interest in the target image at multiple scales. The effect of enhancing the feature is also effectively suppressing the noise of the target image.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image enhancement method, device, device, and storage medium. Background technique [0002] The edges and details of images usually carry most of the feature information, which is an important basis for human beings to distinguish image objects. However, the existing images acquired by electronic devices usually have different degrees of blurring. Therefore, enhancing the edges and details of images has important research significance for image processing. [0003] The existing image enhancement method is usually an unsharp mask enhancement method. This method filters the original image and performs a point-by-point difference operation with the original image to obtain a high-frequency image. The high-frequency image is processed using a linear or nonlinear curve. Enhancement processing, and add the enhanced high-frequency image to the ori...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20024G06T5/70G06T2207/20012G06T5/20G06T2207/20016G06T2207/30068G06T5/75G06T5/50G06T2207/20028G06T2207/20224
Inventor 江春花赵书睿王汉禹
Owner SHANGHAI UNITED IMAGING HEALTHCARE