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Image enhancement method and device

An image enhancement and image technology, which is applied in the field of image processing, can solve the problems of unsatisfactory users and poor image enhancement effects, and achieve the effects of reducing jitter, improving enhancement effects, and avoiding blur

Inactive Publication Date: 2010-10-06
HANGZHOU HIKVISION DIGITAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Ultimately, the enhancement effect of the image is poor, which cannot meet the needs of users

Method used

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  • Image enhancement method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] see figure 1 , which is a flowchart of an embodiment of an image enhancement method of the present application, including the following steps:

[0023] Step 101: performing grayscale stretching on the target image, and performing grayscale mapping on the stretched image to obtain the global grayscale mapping value of the target image;

[0024] Wherein, the grayscale stretching of the target image, and grayscale mapping of the stretched image to obtain the global grayscale mapping value of the target image include: counting the grayscale histogram of the target image; Stretching the grayscale histogram of the target image to obtain a stretched grayscale histogram; obtaining a global grayscale mapping table of the target image according to the stretched grayscale histogram, the global The grayscale mapping table contains global grayscale mapping values ​​of the target image.

[0025] For example, first count the grayscale histogram of the target image, please refer to ...

Embodiment 2

[0047] Because video images are often disturbed by noise during the acquisition and transmission process, the noise will have a bad influence on the image. Therefore, the difference between this embodiment and the above-mentioned first embodiment is that, after image enhancement processing, the enhanced target image may be further subjected to noise suppression processing. Noise suppression is to separate the noise from the image, and keep the image from being distorted during the separation process. see Figure 4 , which is a flowchart of another embodiment of an image enhancement method of the present application, including the following steps:

[0048] Step 401: performing grayscale stretching on the target image, and performing grayscale mapping on the stretched image to obtain the global grayscale mapping value of the target image;

[0049] Step 402: Divide the target image into image units, a square area formed by every 9 image units is a local block, and a square area...

Embodiment 3

[0066] Since the position of the image acquisition device is unstable when acquiring images, it will cause picture jitter or trailing phenomenon in the finally acquired video images, thereby affecting the picture quality of the entire video images. Therefore, the difference between this embodiment and the first embodiment above is that, after image processing, it may further include performing video stabilization processing on the enhanced target image. see Figure 5 , which is a flowchart of another embodiment of an image enhancement method of the present application, including the following steps:

[0067] Step 501: performing grayscale stretching on the target image, and performing grayscale mapping on the stretched image to obtain the global grayscale mapping value of the target image;

[0068] Step 502: Divide the target image into image units, a square area formed by every 9 image units is a local block, and a square area formed by every 4 image units in the local block...

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Abstract

The embodiment of the invention discloses an image enhancement method and an image enhancement device. The method comprises the following steps of: performing gray level stretching on a target image and performing gray level mapping on the stretched image to obtain an overall gray level mapping value of the target image; segmenting the target image into image units, wherein a square area consisting of every nine image units is a local block, and a square area consisting of every four image units in the local block is an image block; performing gray level stretching on four image blocks in each local block and performing gray level mapping on the stretched image blocks respectively to obtain gray level mapping values of the image blocks; weighting and summing the gray level mapping values of the image blocks to obtain a local gray level mapping value of the target image; and performing arithmetic average on the overall gray level mapping value and the local gray level mapping value to obtain a gray level enhancement value of the target image. According to the embodiment of the invention, the enhancement effect of images can be improved and the user requirements can be met.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image enhancement method and device. Background technique [0002] Usually, during the process of capturing video images by the image acquisition device, due to the influence of some environmental factors, there may be some problems affecting the image quality in the acquired video images. For example, when the lighting conditions are poor, the captured video image has low brightness and poor contrast, so that the human eye cannot perceive and distinguish detailed information. Therefore, image enhancement is required for the problem image. Image enhancement technology is to enhance the visual effect of the image, make the original unclear image clear or emphasize some interesting features, suppress uninteresting features, improve image quality, enrich information, and strengthen image interpretation and recognition. Effect image processing method. [0003...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/20G06T5/40H04N5/14H04N5/232
Inventor 贾永华蔡巍伟浦世亮胡扬忠邬伟琪
Owner HANGZHOU HIKVISION DIGITAL TECH
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