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Grayscale image enhancement method and device, computer equipment and storage medium

A gray-scale image and image technology, applied in the field of gray-scale image enhancement methods, devices, computer equipment and storage media, can solve the problems of low calculation efficiency, poor processing effect, and low image quality

Active Publication Date: 2021-05-18
广东众聚人工智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] With the development of science and technology, the requirements for image quality are getting higher and higher. A single enhancement processing method can no longer meet the current needs, and there are still many deficiencies in specific applications, such as low calculation efficiency and the range of images that can be processed. Narrow, poor processing effect, low image quality after processing, etc.

Method used

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  • Grayscale image enhancement method and device, computer equipment and storage medium
  • Grayscale image enhancement method and device, computer equipment and storage medium
  • Grayscale image enhancement method and device, computer equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0040] figure 1It is a flowchart of a grayscale image enhancement method provided by an embodiment of the present invention. The method combines a deep learning method with an image enhancement method, including steps S10-S40.

[0041] S10: Get training image set x 1 , for x 1 Perform image augmentation to obtain (P-1) augmented image sets {x 2, x 3 ,...x p}, where P is an integer greater than 2.

[0042] S20: Construct an image matching network model, wherein the image matching network model includes a distribution matching network and a structure matching network, which are used to perform distribution matching and structure matching on the grayscale image input to the image matching network model, so as to realize the grayscale image enhanced.

[0043] S30: use {x 1 ,x 2, x 3 ,...x p}, performing model training on the image matching network model.

[0044] S40: Acquire a grayscale image to be enhanced, and input the image to be enhanced into a trained image matc...

Embodiment 2

[0100] image 3 It is a schematic structural diagram of a grayscale image enhancement device provided by an embodiment of the present invention. The device is used to implement the grayscale image enhancement method provided in Embodiment 1, including a training image acquisition module 510 , a network construction module 520 , a network training module 530 and an image enhancement module 540 .

[0101] The training image acquisition module 510 is used to acquire the training image set x 1 , and for x 1 Perform image augmentation to obtain (P-1) augmented image sets {x 2, x 3 ,...x p}, where P is an integer greater than 2.

[0102] The network construction module 520 is used to construct an image matching network model, wherein the image matching network model includes a distribution matching network and a structure matching network, for performing distribution matching and structure matching on the grayscale image input to the image matching network model, Implement gra...

Embodiment 3

[0119] Figure 4 It is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Such as Figure 4 As shown, the device includes a processor 610 and a memory 620 . The number of processors 610 may be one or more, Figure 4 A processor 610 is taken as an example.

[0120] The memory 620, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules of the grayscale image enhancement method in the embodiment of the present invention. The processor 610 executes the software programs, instructions and modules stored in the memory 620 to implement the above grayscale image enhancement method.

[0121] The memory 620 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application program required by at least one function; the data storage area may store da...

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PUM

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Abstract

The invention discloses a grayscale image enhancement method and a device, computer equipment and a storage medium. The method comprises the following steps: acquiring a training image set x1, and carrying out image augmentation on the x1 to obtain an augmented image set {x2, x3,... xp}; constructing an image matching network model, wherein the image matching network model comprises a distribution matching network and a structure matching network and is used for carrying out distribution matching and structure matching on the grayscale image input into the image matching network model so as to realize grayscale image enhancement; performing model training on the image matching network model by utilizing {x1, x2, x3,... xp}; and obtaining a to-be-enhanced grayscale image, and inputting the to-be-enhanced image into the trained image matching network model to obtain an enhanced grayscale image. The method widens the range of image processing, enables the gray distribution of the target to be well separated, and guarantees that the generated enhanced image has good quality in the gray distribution.

Description

technical field [0001] Embodiments of the present invention relate to the field of image enhancement, and in particular, to a grayscale image enhancement method, device, computer equipment, and storage medium. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Image enhancement is to purposely emphasize the overall or local characteristics of the image, make the original unclear image clear or emphasize some interesting features, expand the difference between different object features in the image, suppress uninteresting features, and make the It improves the image quality, enriches the amount of information, strengthens the image interpretation and recognition effect, and meets the needs of some special analysis. In medical imaging, remote sensing imaging, portrait photography and other fields, image enhancement technology has a wide range ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/00
CPCG06T7/0002G06T2207/20081G06T2207/20084G06T2207/30168G06T5/70
Inventor 丁冬睿秦者云袭肖明杨光远
Owner 广东众聚人工智能科技有限公司