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Image defogging algorithm and artificial intelligence technology innovation application in digital media image processing

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Abstract Contemporary digital media has been promoted under the leadership, for video image capture and processing/using artificial intelligence technology to classify video content and other technologies have been effectively applied. Facing the current era of short video outbreak, image processing technology and digital media technology occupy an important position in the application. Image processing technology can recognize video content through video capture and processing. However, it can be found in the practical application research that many short videos have the problem of low definition, so the captured image is not clear enough, and the recognition and resolution of the image brings some adverse effects. In addition, the algorithms of image to fog of digital media can also play the role of "rescue", for some not to retrieve video and image information, through the image to fog algorithm can fix the problems, and make the image more clear, thus improve the precision of image and recognition, image information acquisition. It can be seen that the combination of image dehazing algorithm and artificial intelligence can more effectively strengthen the image processing of digital media, and facilitate the protection and classification of image data.
Title: Image defogging algorithm and artificial intelligence technology innovation application in digital media image processing
Description:
Abstract Contemporary digital media has been promoted under the leadership, for video image capture and processing/using artificial intelligence technology to classify video content and other technologies have been effectively applied.
Facing the current era of short video outbreak, image processing technology and digital media technology occupy an important position in the application.
Image processing technology can recognize video content through video capture and processing.
However, it can be found in the practical application research that many short videos have the problem of low definition, so the captured image is not clear enough, and the recognition and resolution of the image brings some adverse effects.
In addition, the algorithms of image to fog of digital media can also play the role of "rescue", for some not to retrieve video and image information, through the image to fog algorithm can fix the problems, and make the image more clear, thus improve the precision of image and recognition, image information acquisition.
It can be seen that the combination of image dehazing algorithm and artificial intelligence can more effectively strengthen the image processing of digital media, and facilitate the protection and classification of image data.

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