CN111193859A - Image processing system and work flow thereof - Google Patents
Image processing system and work flow thereof Download PDFInfo
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- CN111193859A CN111193859A CN201910252020.0A CN201910252020A CN111193859A CN 111193859 A CN111193859 A CN 111193859A CN 201910252020 A CN201910252020 A CN 201910252020A CN 111193859 A CN111193859 A CN 111193859A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
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- H04N9/00—Details of colour television systems
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- H—ELECTRICITY
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Abstract
The invention discloses an image processing system and a working process thereof, relates to the field of image processing, and aims to solve the problem of poor image processing effect in the prior art. The image processing device comprises an image acquisition unit, a normalizing unit, a segmentation unit and a processor, wherein the image acquisition unit is connected with the normalizing unit, the normalizing unit is connected with the segmentation unit, the processor comprises a database, a storage unit, a conversion unit, a display unit, a merging unit and an output unit, the segmentation unit is connected with the processor, and the conversion unit comprises a gray processing unit, a contrast processing unit, a tone mapping unit, a compression unit and a feature extraction unit. The invention has reasonable design, divides the image into different parts, respectively adopts the treatments of gray scale treatment, contrast treatment, tone mapping treatment, compression treatment, characteristic extraction treatment and the like to each part, and finally combines the parts into one image, thereby effectively improving the quality of the image, having high treatment efficiency and meeting the use requirements of people.
Description
Technical Field
The invention relates to the field of image processing, in particular to an image processing system.
Background
The shooting is a mode for recording the drips in life, and more people like to shoot with the progress of science and technology and the prevalence of various shooting software.
In order to make the shot photo more beautiful, people perform image processing on the shot photo. Image processing is a technique of analyzing an image with a computer to achieve a desired result, and is also called image processing. Image processing is generally referred to as digital image processing, where a digital image is a large two-dimensional array of elements called pixels and values called gray-scale values captured by a camera, scanner, or the like.
At present, people carry out simple gray scale and contrast adjustment on images when carrying out image processing, and although the processed images improve certain display effect, the expected effect of people cannot be achieved, and people also carry out research on the aspect.
Disclosure of Invention
It is an object of the present invention to provide an image processing system to solve the problems set forth in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an image processing system comprises an image acquisition unit, an image normalization unit, a segmentation unit and a processor, wherein the image acquisition unit is connected with the image normalization unit, the image normalization unit is connected with the segmentation unit, the processor comprises a database, a storage unit, a conversion unit, a display unit, a merging unit and an output unit, the segmentation unit is connected with the processor, the conversion unit comprises a gray scale processing unit, a contrast processing unit, a tone mapping unit, a compression unit and a feature extraction unit, the image acquisition unit is used for acquiring an image, the image normalization unit is used for normalizing and digitally filtering the image, the segmentation unit is used for dividing the image into more than two image parts for subsequent processing, the database is used for storing the processed image, the conversion unit is used for respectively performing conversion processing on different image parts, and the display unit is used for displaying the processed image, the merging unit merges different image parts to form a complete image, the output unit outputs the processed image, the gray processing unit performs gray processing on the different image parts, the contrast processing unit performs contrast adjustment on the different image parts, the tone mapping unit performs tone mapping operation on the different image parts, the compression unit performs compression processing on the image parts after the tone mapping operation to ensure the definition of the image parts, and the feature extraction unit extracts the features of the image parts according to a preset rule.
As a further scheme of the invention: the conversion unit also comprises a raster processing unit which performs raster processing on the image part to obtain a pixel map, so that the extraction of the features is facilitated.
As a further scheme of the invention: the image acquisition unit comprises a camera and a video decoder, wherein the camera can directly acquire external video images, and the video decoder can perform A/D conversion on acquired external video signals to form a standard digital video format and input the standard digital video format to the normalization unit.
As a further scheme of the invention: the camera adopts infrared high definition digtal camera, no matter light and shade, all can shoot clear photo, convenient subsequent processing.
As a further scheme of the invention: the feature extraction unit adopts DLT algorithm in ARToolkit to extract features, and the algorithm is mature in technology and wide in application range.
As a further scheme of the invention: the processor is also connected with the cloud server, and the processing rules of the processor are changed by comparing the similar photos on the cloud server, so that a better processing effect is achieved.
The workflow of the image processing system comprises the following specific steps:
the method comprises the following steps that firstly, an image acquisition unit acquires an image, a normalization unit performs normalization and digital filtering processing on the image, a segmentation unit divides the image into more than two image parts, the number of the actual image parts is selected according to the use environment, and then the image parts are sent to a processor;
the second step, the gray processing unit carries out gray processing on different image parts, the contrast processing unit carries out contrast adjustment on the different image parts, the feature extraction unit extracts features of the image parts according to a preset rule, the tone mapping unit carries out tone mapping operation on the different image parts, and the compression unit carries out compression processing on the image parts after the tone mapping operation to obtain more than two processed image parts;
and step three, merging the processed more than two image parts into one image by the merging unit, displaying the merged image by the display unit, storing the merged image in the database by the storage unit, and outputting the merged image by the output unit.
Compared with the prior art, the invention has the beneficial effects that:
the invention has reasonable design, divides the image into different parts, respectively adopts the treatments of gray scale treatment, contrast treatment, tone mapping treatment, compression treatment, characteristic extraction treatment and the like to each part, and finally combines the parts into one image, thereby effectively improving the quality of the image, having high treatment efficiency and meeting the use requirements of people.
Drawings
Fig. 1 is a schematic configuration diagram of an image processing system.
Fig. 2 is a schematic structural diagram of an image acquisition unit in the image processing system.
Fig. 3 is a schematic structural diagram of a conversion unit in the image processing system.
Wherein: the method comprises the steps of 1-an image acquisition unit, 2-an normalization unit, 3-a segmentation unit, 4-a raster processing unit, 5-a gray scale processing unit, 6-a contrast processing unit, 7-a compression unit, 8-a processor, 9-a storage unit, 10-a display unit, 11-a tone mapping unit, 12-a merging unit, 13-a camera, 14-a video decoder, 15-a feature extraction unit, 16-a conversion unit, 17-an output unit and 18-a database.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Example 1
An image processing system comprises an image acquisition unit 1, an normalization unit 2, a segmentation unit 3 and a processor 8, wherein the image acquisition unit 1 is connected with the normalization unit 2, the normalization unit 2 is connected with the segmentation unit 3, the processor 8 comprises a database 18, a storage unit 9, a conversion unit 16, a display unit 10, a merging unit 12 and an output unit 17, the segmentation unit 3 is connected with the processor 8, the conversion unit 16 comprises a gray scale processing unit 5, a contrast processing unit 6, a tone mapping unit 11, a compression unit 7 and a feature extraction unit 15, the image acquisition unit 1 is used for acquiring images, the normalization unit 2 is used for normalizing and digital filtering the images, the segmentation unit 3 is used for dividing the images into more than two image parts for subsequent processing, the database 18 is used for storing the processed images, the conversion unit 16 is used for respectively performing conversion processing on different image parts, the display unit 10 is used for displaying the processed image, the merging unit 12 merges different image portions to form a complete image, the output unit 17 outputs the processed image, the gray processing unit 5 performs gray processing on different image portions, the contrast processing unit 6 performs contrast adjustment on different image portions, the tone mapping unit 11 performs tone mapping operation on different image portions, the compression unit 7 performs compression processing on the image portions after the tone mapping operation to ensure the definition of the image portions, and the feature extraction unit 15 extracts the features of the image portions according to a preset rule.
The conversion unit 16 further includes a raster processing unit 4, which performs raster processing on the image portion to obtain a pixel map, so as to facilitate feature extraction.
The feature extraction unit 15 adopts DLT algorithm in ARToolkit to extract features, and the algorithm is mature in technology and wide in application range.
The processor 8 is also connected with the cloud server, and the processing rules of the processor 8 are changed by comparing the similar photos on the cloud server, so that a better processing effect is achieved.
The workflow of the image processing system comprises the following specific steps:
firstly, an image acquisition unit 1 acquires an image, a normalization unit 2 performs normalization and digital filtering processing on the image, a segmentation unit 3 divides the image into more than two image parts, the number of the actual image parts is selected according to the use environment, and then the image parts are sent to a processor 8;
step two, the gray processing unit 5 performs gray processing on different image parts, the contrast processing unit 6 performs contrast adjustment on different image parts, the raster processing unit 4 performs raster processing on different image parts to obtain a pixel map, the feature extraction unit 15 extracts features in the pixel map by adopting a DLT algorithm in an ARToolKit, the tone mapping unit 11 performs tone mapping operation on different image parts, and the compression unit 7 performs compression processing on the image parts after the tone mapping operation to obtain more than two processed image parts;
step three, the merging unit 12 merges the processed two or more image parts into one image, the processor 8 compares the merged image with a similar photo on the cloud server, the processing rule of the processor 8 is changed, the processing effect is improved, the display unit 10 displays the processed image, the storage unit 9 stores the merged image in the database 18, and the output unit 17 outputs the merged image.
Example 2
An image processing system comprises an image acquisition unit 1, an normalization unit 2, a segmentation unit 3 and a processor 8, wherein the image acquisition unit 1 is connected with the normalization unit 2, the normalization unit 2 is connected with the segmentation unit 3, the processor 8 comprises a database 18, a storage unit 9, a conversion unit 16, a display unit 10, a merging unit 12 and an output unit 17, the segmentation unit 3 is connected with the processor 8, the conversion unit 16 comprises a gray scale processing unit 5, a contrast processing unit 6, a tone mapping unit 11, a compression unit 7 and a feature extraction unit 15, the image acquisition unit 1 is used for acquiring images, the normalization unit 2 is used for normalizing and digital filtering the images, the segmentation unit 3 is used for dividing the images into more than two image parts for subsequent processing, the database 18 is used for storing the processed images, the conversion unit 16 is used for respectively performing conversion processing on different image parts, the display unit 10 is used for displaying the processed image, the merging unit 12 merges different image portions to form a complete image, the output unit 17 outputs the processed image, the gray processing unit 5 performs gray processing on different image portions, the contrast processing unit 6 performs contrast adjustment on different image portions, the tone mapping unit 11 performs tone mapping operation on different image portions, the compression unit 7 performs compression processing on the image portions after the tone mapping operation to ensure the definition of the image portions, and the feature extraction unit 15 extracts the features of the image portions according to a preset rule.
The image acquisition unit 1 comprises a camera 13 and a video decoder 14, the camera 13 can directly collect external video images, and the video decoder 14 can perform A/D conversion on the collected external video signals to form a standard digital video format and input the standard digital video format to the normalization unit 2, so that the normalization unit 2 can process the standard digital video signals conveniently.
The camera 13 adopts an infrared high-definition camera, and clear pictures can be shot no matter light and shade, so that subsequent processing is facilitated.
The workflow of the image processing system comprises the following specific steps:
firstly, a camera 13 directly collects an external video image, a video decoder 14 carries out A/D conversion on the collected external video signal to form a standard digital video format and inputs the standard digital video format to a normalizing unit 2, the normalizing unit 2 carries out normalization and digital filtering processing on the image, a dividing unit 3 divides the image into more than two image parts, the actual number of the image parts is selected according to the use environment, and then the image parts are sent to a processor 8;
step two, the gray processing unit 5 performs gray processing on different image parts, the contrast processing unit 6 performs contrast adjustment on different image parts, the feature extraction unit 15 extracts features of the image parts according to a preset rule, the tone mapping unit 11 performs tone mapping operation on different image parts, and the compression unit 7 performs compression processing on the image parts after the tone mapping operation to obtain more than two processed image parts;
step three, the merging unit 12 merges the processed two or more image parts into one image, the display unit 10 displays the merged image, the storage unit 9 stores the merged image in the database 18, and the output unit 17 outputs the merged image.
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. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. An image processing system comprises an image acquisition unit (1), a normalizing unit (2), a segmentation unit (3) and a processor (8), and is characterized in that the image acquisition unit (1) is connected with the normalizing unit (2), the normalizing unit (2) is connected with the segmentation unit (3), the processor (8) comprises a database (18), a storage unit (9), a conversion unit (16), a display unit (10), a merging unit (12) and an output unit (17), the segmentation unit (3) is connected with the processor (8), and the conversion unit (16) comprises a gray processing unit (5), a contrast processing unit (6), a tone mapping unit (11), a compression unit (7) and a feature extraction unit (15).
2. The image processing system according to claim 1, characterized in that the conversion unit (16) further comprises a raster processing unit (4).
3. Image processing system according to claim 1, characterized in that the image acquisition unit (1) comprises a camera (13) and a video decoder (14).
4. An image processing system according to claim 3, characterized in that the camera (13) is an infrared high-definition camera.
5. The image processing system according to claim 1, wherein the feature extraction unit (15) performs feature extraction using DLT algorithm in ARToolKit.
6. An image processing system according to claim 1 or 2, wherein the processor (8) is further connected to a cloud server.
7. A workflow of an image processing system according to any one of claims 1 to 6, characterized by the specific steps of:
firstly, an image acquisition unit (1) acquires an image, a normalization unit (2) performs normalization and digital filtering processing on the image, a segmentation unit (3) divides the image into more than two image parts, and then the image parts are sent to a processor (8);
secondly, the gray processing unit (5) performs gray processing on different image parts, the contrast processing unit (6) performs contrast adjustment on the different image parts, the feature extraction unit (15) extracts features of the image parts according to a preset rule, the tone mapping unit (11) performs tone mapping operation on the different image parts, and the compression unit (7) performs compression processing on the image parts after the tone mapping operation to obtain more than two processed image parts;
step three, merging the more than two processed image parts into one image by a merging unit (12), displaying the merged image by a display unit (10), storing the merged image in a database (18) by a storage unit (9), and outputting the merged image by an output unit (17).
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Application publication date: 20200522 |