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An image enhancement method, device and medium

An image enhancement and image technology, applied in the field of image processing, can solve problems affecting image quality, increase image noise particles, increase the difficulty of area classification, etc., achieve the effect of reducing black and white edges and reducing noise interference

Active Publication Date: 2022-01-07
湖南兴芯微电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when image enhancement is performed, the enhancement results are easily affected by noise, especially in low-light shooting environments, where the effective signal is weak and the signal-to-noise ratio of the image is low, which brings difficulties to image processing technology
When the signal-to-noise ratio is low, image enhancement has the following problems: First, it is necessary to accurately distinguish between flat areas and detailed areas. It is easy to be misjudged as details, so that the noise is amplified, which affects the quality of the image; secondly, the extracted high-frequency signal is usually affected by the noise, and the signal is amplified, which will increase the noise particles of the image, and the image The contours of flat areas and objects are somewhat damaged

Method used

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

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] figure 1 is a schematic diagram of the image enhancement method of this embodiment, refer to figure 1 , the present embodiment provides an image enhancement method, the method comprising the following steps:

[0048] S0: performing low-pass filtering on the input image to obtain brightness information of the input image;

[0049] The input image can be an image obtained by an image sensor or an image obtained by a camera device, for example, it can obtain an original image for an image sensor, or an image processed by an image signal processor ISP; for an image obtained by a camera device An image, which may be processed by a processor of the camera device.

[0050] Performing low-pass filtering on the input image, the low-pass filtering can remove the high-frequency part of the image and retain the low-frequency part of the image, and the brightness information of the image is generally in the low-frequency part.

[0051] The low-pass filter used in this embodiment ...

Embodiment 2

[0110] refer to Image 6 , Image 6 It is the image enhancement device of the present embodiment, and the device includes the following modules:

[0111] A low-frequency signal extraction module, configured to perform low-pass filtering on the input image to obtain brightness information of the input image;

[0112] The gradient information extraction module is used to extract the gradient information of the input image, and obtain the gradient information of the input image;

[0113] A high-frequency information extraction module, configured to extract high-frequency signals from the input image, and obtain high-frequency information of the input image;

[0114] A detail judging module, configured to judge whether the pixel of the image is a detail pixel according to the brightness information and the gradient information;

[0115] A smoothing module, configured to acquire an enhanced image based on the high-frequency information and the detail pixels.

[0116] The low-fr...

Embodiment 3

[0178] refer to Figure 7 , Figure 7 It is a schematic structural diagram of an image enhancement device in this embodiment. The image enhancement device 20 of this embodiment includes a processor 21 , a memory 22 and a computer program stored in the memory 22 and executable on the processor 21 . When the processor 21 executes the computer program, the steps in the above embodiment of the image enhancement method are implemented. Alternatively, when the processor 21 executes the computer program, it realizes the functions of the modules / units in the above device embodiments.

[0179] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 22 and executed by the processor 21 to complete this invention. The one or more modules / units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execu...

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Abstract

The present invention provides an image enhancement method, which includes the following steps: performing low-pass filtering on an input image to obtain brightness information of the input image; extracting gradient information from the input image to obtain gradient information of the input image; Extracting high-frequency signals from the input image to obtain high-frequency information of the input image; according to the brightness information and gradient information, determine whether the pixels of the image are detail pixels; according to the high-frequency information and the detail pixels , to obtain the enhanced image. The invention judges the details of the image according to the brightness information and gradient information of the image, so as to better distinguish whether the image is a detail, reduce the interference of noise, and improve the quality of image enhancement.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image enhancement method, device and medium. Background technique [0002] The general method of image detail enhancement is to extract the high-frequency information of the image, enlarge it and add it back to the original image, so that the edge details are enhanced and the contrast of the object is improved. However, when performing image enhancement, the enhancement results are easily affected by noise, especially in low-light shooting environments, where the effective signal is weak and the signal-to-noise ratio of the image is low, which brings difficulties to image processing technology. When the signal-to-noise ratio is low, image enhancement has the following problems: First, it is necessary to accurately distinguish between flat areas and detailed areas. It is easy to be misjudged as details, so that the noise is amplified, which affects the quality of the im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/002G06T5/10G06T5/007G06T2207/10004G06T2207/10024G06T2207/20024
Inventor 杨珊童飞周宇李剑新席晨余志强杨海东
Owner 湖南兴芯微电子科技有限公司