CN112258400A - Image enhancement method based on inspection image system - Google Patents
Image enhancement method based on inspection image system Download PDFInfo
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- CN112258400A CN112258400A CN202011034435.XA CN202011034435A CN112258400A CN 112258400 A CN112258400 A CN 112258400A CN 202011034435 A CN202011034435 A CN 202011034435A CN 112258400 A CN112258400 A CN 112258400A
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- 238000007689 inspection Methods 0.000 title claims abstract description 109
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 38
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 230000002708 enhancing effect Effects 0.000 claims abstract description 4
- 230000009466 transformation Effects 0.000 claims description 26
- 238000001914 filtration Methods 0.000 claims description 11
- 238000005286 illumination Methods 0.000 claims description 6
- 230000002146 bilateral effect Effects 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 230000010354 integration Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20028—Bilateral filtering
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Abstract
The invention provides an image enhancement method based on an inspection image system; the inspection image system includes: the system comprises a polling platform, an image encoder, an image processing module, a monitoring platform and a command platform; the inspection platform comprises an inspection image sensor and a mobile device; the command platform sends an inspection task to the inspection platform; the inspection platform receives and calls an inspection task, and acquires an inspection image through the mobile device and the inspection image sensor; the inspection image is transmitted to the image processing module through an image encoder; the image processing module is used for enhancing the inspection image by adopting an image enhancement method and transmitting the enhanced image to the monitoring platform; the method provided by the invention has the beneficial effects that: the platform operation of the polling service is realized, the integration of polling, image processing, safety alarm and other works is realized, and the working efficiency is improved.
Description
Technical Field
The invention relates to the field of image processing, in particular to an image enhancement method based on an inspection image system.
Background
At present, inspection image processing is mainly to perform image preprocessing (noise removal, gray level change, image enhancement and the like) after image information is collected, but the traditional image enhancement method has the problems of low brightness, large noise and the like, so that when the inspection image is transmitted to a monitoring platform, the related information such as image characteristics and the like is not obvious, and the abnormality in the image cannot be effectively observed by a monitored person; in addition, in order to find abnormal situations from thousands of cameras in the security management level of public places such as communities and campuses, it is necessary to improve the inspection image processing system by new technology and means on the basis of the prior art, and improve the work support degree of the system to managers. However, the current image inspection processing system has low image resolution, and the image processing effect cannot meet the monitoring requirement.
Disclosure of Invention
In view of this, in order to solve the problems of low brightness, large noise and the like in the image enhancement process, the invention designs an image enhancement method based on an inspection image system, which improves the signal-to-noise ratio of an image and improves the brightness and the contrast of the image.
The invention provides an image enhancement method based on an inspection image system, which comprises the following steps:
the system comprises a polling platform, an image encoder, an image processing module, a monitoring platform and a command platform; the inspection platform comprises an inspection image sensor and a mobile device;
the command platform and the inspection platform are in wireless communication; the inspection platform is electrically connected with the image encoder; the image encoder is electrically connected with the image processing module; the image processing module is connected with the monitoring platform through a network cable;
the command platform sends an inspection task to the inspection platform; the inspection platform receives and calls an inspection task, and acquires an inspection image through the mobile device and the inspection image sensor; the inspection image is transmitted to the image processing module through an image encoder; the image processing module is used for enhancing the inspection image by adopting an image enhancement method and transmitting the enhanced image to the monitoring platform; the monitoring platform is used for displaying the enhanced image.
Furthermore, the image encoder stores the collected patrol inspection image into an image database, and simultaneously outputs the original image to the monitoring platform for display through image matrix transformation.
Further, the image enhancement method specifically includes:
s101: the inspection image sensor acquires an inspection image;
s102: the image processing module carries out bilateral filtering denoising on the inspection image to obtain a filtered inspection image;
s103: the image processing module performs power transformation on the filtered polling image to enhance the contrast and obtain a polling image with enhanced contrast;
s104: the image processing module performs brightness enhancement on the routing inspection image with the enhanced contrast by adopting nonlinear transformation to obtain a routing inspection image with enhanced brightness;
s105: and the image processing module integrally enhances the inspection image after the brightness is enhanced again by adopting a Retinex algorithm, and removes the illumination reflection quantity in the inspection image after the brightness is enhanced by combining the visual characteristics of human eyes to obtain the final enhanced inspection image.
Further, in step S103, the power transformation is specifically a linear transformation.
Further, in step S104, the non-linear transformation is specifically a histogram equalization transformation.
Further, step S105 specifically includes:
s201: performing convolution filtering on each color channel of the inspection image with the enhanced brightness by adopting a Gaussian surrounding function to obtain a Gaussian filtered image;
s202: and taking the filtered image as an illumination component of the image, and subtracting the image with enhanced brightness from the image with Gaussian filtration by utilizing logarithmic transformation, thereby removing a reflection component in the image with enhanced brightness and obtaining a final enhanced inspection image.
A storage device stores instructions and data for implementing an image enhancement method based on an inspection image system.
An image enhancement device based on an inspection image system, comprising: a processor and a storage device; the processor loads and executes instructions and data in the storage device to realize an image enhancement method based on the inspection image system,
The technical scheme provided by the invention has the beneficial effects that: the platform operation of the polling service is realized, the integration of polling, image processing, safety alarm and other works is realized, and the working efficiency is improved.
Drawings
FIG. 1 is a block diagram of a patrol imaging-based system of the present invention;
FIG. 2 is a flow chart of an image enhancement method based on the inspection image system according to the present invention;
FIG. 3 is an original inspection image collected by the present invention;
FIG. 4 is a graph of the effect of the present invention after dual wave filtering;
FIG. 5 is a diagram of the effects of the present invention after power transformation;
FIG. 6 is a graph of the effects of the invention after linear transformation;
FIG. 7 is a graph of the effect of the invention after Retimex.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, the present invention provides the following steps:
the system comprises a polling platform, an image encoder, an image processing module, a monitoring platform and a command platform; the inspection platform comprises an inspection image sensor and a mobile device;
the command platform and the inspection platform are in wireless communication; the inspection platform is electrically connected with the image encoder; the image encoder is electrically connected with the image processing module; the image processing module is connected with the monitoring platform through a network cable;
the command platform sends an inspection task to the inspection platform; the inspection platform receives and calls an inspection task, and acquires an inspection image through the mobile device and the inspection image sensor; the inspection image is transmitted to the image processing module through an image encoder; the image processing module is used for enhancing the inspection image by adopting an image enhancement method and transmitting the enhanced image to the monitoring platform; the monitoring platform is used for displaying the enhanced image.
The image encoder also stores the collected patrol inspection image into an image database, and simultaneously outputs the original image to the monitoring platform for displaying through image matrix transformation.
Referring to fig. 2, fig. 2 is a flowchart of an image enhancement method based on an inspection image system according to the present invention.
S101: the inspection image sensor acquires an inspection image; referring to fig. 3, fig. 3 is an original image of the collected inspection image;
s102: the image processing module carries out bilateral filtering denoising on the inspection image to obtain a filtered inspection image;
s103: the image processing module performs power transformation on the filtered polling image to enhance the contrast and obtain a polling image with enhanced contrast;
s104: the image processing module performs brightness enhancement on the routing inspection image with the enhanced contrast by adopting nonlinear transformation to obtain a routing inspection image with enhanced brightness;
s105: and the image processing module integrally enhances the inspection image after the brightness is enhanced again by adopting a Retinex algorithm, and removes the illumination reflection quantity in the inspection image after the brightness is enhanced by combining the visual characteristics of human eyes to obtain the final enhanced inspection image.
Referring to fig. 4, fig. 4 is a diagram illustrating the effect of bilateral filtering;
referring to fig. 5, in step S103, the power transformation is specifically a linear transformation.
Referring to fig. 6, the non-linear transformation is specifically a histogram equalization transformation.
Referring to fig. 7, step S105 specifically includes:
s201: performing convolution filtering on each color channel of the inspection image with the enhanced brightness by adopting a Gaussian surrounding function to obtain a Gaussian filtered image;
s202: and taking the filtered image as an illumination component of the image, and subtracting the image with enhanced brightness from the image with Gaussian filtration by utilizing logarithmic transformation, thereby removing a reflection component in the image with enhanced brightness and obtaining a final enhanced inspection image. The final effect diagram, please refer to fig. 7.
The technical scheme provided by the invention has the beneficial effects that: the platform operation of the polling service is realized, the integration of polling, image processing, safety alarm and other works is realized, and the working efficiency is improved.
The features of the embodiments and embodiments described herein above may be combined with each other without conflict.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. An image enhancement method based on an inspection image system is characterized in that: the inspection image system includes: the system comprises a polling platform, an image encoder, an image processing module, a monitoring platform and a command platform; the inspection platform comprises an inspection image sensor and a mobile device;
the command platform and the inspection platform are in wireless communication; the inspection platform is electrically connected with the image encoder; the image encoder is electrically connected with the image processing module; the image processing module is connected with the monitoring platform through a network cable;
the command platform sends an inspection task to the inspection platform; the inspection platform receives and calls an inspection task, and acquires an inspection image through the mobile device and the inspection image sensor; the inspection image is transmitted to the image processing module through an image encoder; the image processing module is used for enhancing the inspection image by adopting an image enhancement method and transmitting the enhanced image to the monitoring platform; the monitoring platform is used for displaying the enhanced image.
2. The inspection tour image system based image enhancement method of claim 1, wherein: the image encoder also stores the collected patrol inspection image into an image database, and simultaneously outputs the original image to the monitoring platform for displaying through image matrix transformation.
3. The inspection tour image system based image enhancement method of claim 1, wherein: the image enhancement method specifically comprises the following steps:
s101: the inspection image sensor acquires an inspection image;
s102: the image processing module carries out bilateral filtering denoising on the inspection image to obtain a filtered inspection image;
s103: the image processing module performs power transformation on the filtered polling image to enhance the contrast and obtain a polling image with enhanced contrast;
s104: the image processing module performs brightness enhancement on the routing inspection image with the enhanced contrast by adopting nonlinear transformation to obtain a routing inspection image with enhanced brightness;
s105: and the image processing module integrally enhances the inspection image after the brightness is enhanced again by adopting a Retinex algorithm, and removes the illumination reflection quantity in the inspection image after the brightness is enhanced by combining the visual characteristics of human eyes to obtain the final enhanced inspection image.
4. The inspection tour image system based image enhancement method of claim 3, wherein: in step S103, the power transformation is specifically a linear transformation.
5. The inspection tour image system based image enhancement method of claim 4, wherein: in step S104, the nonlinear transformation is specifically histogram equalization transformation.
6. The inspection tour image system based image enhancement method of claim 3, wherein: step S105 specifically includes:
s201: performing convolution filtering on each color channel of the inspection image with the enhanced brightness by adopting a Gaussian surrounding function to obtain a Gaussian filtered image;
s202: and taking the filtered image as an illumination component of the image, and subtracting the image with enhanced brightness from the image with Gaussian filtration by utilizing logarithmic transformation, thereby removing a reflection component in the image with enhanced brightness and obtaining a final enhanced inspection image.
7. A storage device, characterized by: the storage device stores instructions and data for implementing any one of the image enhancement methods based on the inspection image system according to claims 1 to 6.
8. The utility model provides an image enhancement equipment based on image system patrols and examines which characterized in that: the method comprises the following steps: a processor and a storage device; the processor loads and executes instructions and data in the storage device to realize the image enhancement method based on the inspection image system according to any one of claims 1 to 6.
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CN115643001A (en) * | 2022-12-25 | 2023-01-24 | 武汉恩为科技有限公司 | Image encryption method and system based on bit plane and readable storage medium |
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Application publication date: 20210122 |