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Picture stylization processing method based on deep learning

A processing method and deep learning technology, applied in the field of image processing to achieve the effect of processing details in place

Inactive Publication Date: 2017-01-11
SHANGHAI JIAO TONG UNIV
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  • Abstract
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Problems solved by technology

[0003] Traditional image processing is empirical

Method used

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  • Picture stylization processing method based on deep learning

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Embodiment Construction

[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0032] A method for image stylization based on deep learning, such as figure 1 shown, including steps:

[0033] S1: Construct a neural network and train it. The neural network includes an input layer, two hidden layers and an output layer. The two hidden layers have a total of 192 neurons, and the number of neurons in the output layer is equal to the expected color conversion coefficient. 30, 10 for each of the three color channels;

[0034] S2: Divide the picture to be processed into multiple superpixels. The picture to be processed is divided into 7000 superpixels. A superpixel (s...

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Abstract

The invention relates to a picture stylization processing method based on deep learning. The method includes steps: S1: establishing and training a neural network; S2: segmenting a to-be-processed picture into a plurality of ultra-pixels; S3: analyzing each ultra-pixel by employing the trained neural network, and marking the environment category with the highest adaption degree therefor; S4: defining the environment category with the maximum marking frequency of the ultra-pixel of all the ultra-pixels as the environment category of the picture; S5: extracting an object in the picture, and determining a target major object according to the position of the object in the picture; and S6: sharpening or blurring a background according to a stylization processing requirement, wherein the stylization processing requirement comprises background strengthening and background weakening. Compared with the prior art, the method is advantaged by fast processing speed and good effect.

Description

technical field [0001] The present invention relates to an image processing method, in particular to an image stylization processing method based on deep learning. Background technique [0002] With the popularity of digital imaging devices and social networks, sharing pictures via social networks has become very popular. A common method in this kind of picture sharing is to use a variety of social software such as Instagram for stylized processing. Traditional high-quality processing is usually done by hand by experienced artists. In this work, the system trains a computable model for automatic image translation from image examples by learning from a collection of pre- and post-processing images of a specific style. [0003] Traditional image processing is empirical. There are many software such as Adobe Photoshop that handle color and style automatically. [0004] Google Auto Awesome and Microsoft Office Picture Manager. In addition, there are many related studies in ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/40
CPCG06T2207/20081G06T5/94
Inventor 盛斌常柯
Owner SHANGHAI JIAO TONG UNIV
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