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Automatic image enhancement system and method for integrating multi-scale information

An automatic image enhancement system technology, applied in the field of image processing, can solve problems such as inability to fuse context information, achieve the effect of enhancing target contrast and suppressing image noise

Active Publication Date: 2018-09-04
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the prior art cannot fuse the context information, and continuous trial and error are required

Method used

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  • Automatic image enhancement system and method for integrating multi-scale information
  • Automatic image enhancement system and method for integrating multi-scale information
  • Automatic image enhancement system and method for integrating multi-scale information

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Embodiment Construction

[0051] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0052] see image 3 : An automatic image enhancement system that fuses multi-scale information, including the following modules:

[0053] Sample calibration module: collect the training set images, mark the training set images at the pixel level, determine the mapping range of the labels, and obtain the corresponding reference standard images;

[0054] Automatically construct the network module: input the corresponding reference standard image, specify the image range to be perceived, automatically calculate the size and number of convolution kernels in the multi-scale fusion module, and generate a convolutional neu...

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Abstract

The invention discloses an automatic image enhancement system and method for integrating multi-scale information. The system comprises a sample calibration module which collects a training set image,marks a pixel level of the training set image, determines a mapping range of a label, and obtains a corresponding reference standard image, a network automatic construction module which inputs a corresponding reference standard image, specifies an image range to be perceived, automatically calculates the size and number of convolution kernels in a multi-scale fusion module, and generates a convolutional neural network model, an automatic training network module which carries out offline training of the convolutional neural network model by using a random gradient descent method optimized pixelweight loss function, and a network application network which inputs a new image into the trained network and outputs an enhanced image with the size of an original image. By integrating multi-scalefeatures, context information is effectively utilized, the image is automatically enhanced, and manual intervention is not needed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an automatic image enhancement system and method for fusing multi-scale information. Background technique [0002] Image enhancement is one of the basic contents of image processing. According to a specific requirement, the useful information in the image is highlighted, and the useless information is removed or weakened. The purpose is to improve image quality, and the processed results are more suitable for human visual characteristics or machine recognition systems. Image enhancement technology has been widely used in medical diagnosis, aerospace, non-destructive detection, satellite image processing and other fields. [0003] Common image enhancement technologies are mostly based on image statistical information, using low-pass filtering, median filtering and other methods to remove noise in the image; using high-pass filtering, wavelet transform, etc. to enhance edges to mak...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20084G06T2207/20081G06T5/90
Inventor 李阳连捷姜少波甘彤国商军张琦珺马彪彪
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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