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Image exposure correction method and system based on artificial intelligence

A technology of artificial intelligence and correction method, which is applied in the field of image processing, can solve the problems of limited sensor size and low light performance, and achieve good correction, performance improvement and noise reduction

Active Publication Date: 2021-11-12
江苏维沛通信科技发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Unlike DSLRs, smartphones have limited sensor size driven by consumer demand for thinner and lighter hardware, with smaller sensors resulting in low light and poor performance

Method used

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  • Image exposure correction method and system based on artificial intelligence
  • Image exposure correction method and system based on artificial intelligence
  • Image exposure correction method and system based on artificial intelligence

Examples

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Effect test

Embodiment 1

[0041] The specific scene targeted by the present invention is the mobile phone camera link, and the weak light conditions during the shooting process may cause the image to become dark, noisy and blurred.

[0042] Such as figure 1 As shown, in order to solve the above technical problems, the present invention provides an image exposure correction method based on artificial intelligence. Specifically include the following steps:

[0043] The first step is to get an image. Firstly, the mobile phone is used to capture an image to be subjected to exposure correction under harsh lighting conditions, and then the depth information of the captured image to be subjected to exposure correction is collected by a depth camera to obtain a depth map. Secondly, the digital camera is used to obtain the exposure-corrected image, and the exposure-corrected image is used as the label output by the neural network. Because digital cameras have a higher range of exposure settings, they are abl...

Embodiment 2

[0065] The specific scene targeted by the present invention is the mobile phone camera link, and the weak light conditions during the shooting process may cause the image to become dark, noisy and blurred.

[0066] Such as figure 2 As shown, the present invention provides a kind of image exposure correction system based on artificial intelligence, comprising:

[0067] The input unit is used to input the image captured by the camera of the mobile phone or the image stored in the memory of the mobile phone to the input unit;

[0068] The processing unit is used to input the image input by the input unit into the trained image exposure correction neural network training for processing, and obtain the processed exposure corrected image;

[0069] The output unit displays the exposure-corrected image processed by the processing unit on the display screen of the mobile phone or saves it in the memory of the mobile phone.

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Abstract

The invention relates to an image exposure correction method and system based on artificial intelligence. The method comprises the following specific steps of acquiring an image to be subjected to exposure correction and an image subjected to exposure correction, taking the image to be subjected to exposure correction as the input of an image exposure correction neural network, taking the image subjected to exposure correction as the output of the image exposure correction neural network, and performing neural network training, constructing a loss function of the neural network, and after the neural network training is completed, outputting an image after exposure correction. According to the method, noise, blur and other impurities can be reduced, and the exposure correction performance is improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an artificial intelligence-based image exposure correction method and system. Background technique [0002] Exposure correction, i.e. adjusting the lighting conditions of an image, is a classic and active problem in computer vision. Low light conditions during shooting can result in dark, noisy and blurry images, usually better or more expensive digital cameras have a higher range of exposure settings and are therefore able to capture better quality shots in poor lighting conditions For photos, digital SLR cameras, for example, have advanced hardware capable of handling things like wide apertures, slow shutter speeds, and sensitive sensors. Unlike digital single-lens reflex cameras, smartphones have limited sensor size, driven by consumer demand for thinner and lighter hardware, with smaller sensors resulting in poor performance in low light. Contents of the invention [0003]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90G06N3/04G06N3/08
CPCG06T7/90G06N3/04G06N3/084G06T2207/20081G06T2207/20084G06T5/77
Inventor 康然
Owner 江苏维沛通信科技发展有限公司
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