Method for automatically judging a scene type to carry out image filter processing

An automatic judgment and image technology, applied in the field of digital image filter rendering, can solve the problems of cumbersome operation, failure to beautify the scenery, single, etc., and achieve the effect of wide application, desirable practicability and high operation efficiency.

Inactive Publication Date: 2019-01-11
广州二元科技有限公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0004] But so far there is no app that can beautify both people and food, and can switch filters for specific scenes. They are all relatively simple camera apps. For example, there are many filters for portrait beauty, but when users When the rear camera is shooting landscapes, the system cannot recognize that the scene is a landscape, and still uses the beautification filter for rendering, which cannot achieve the effect of beautifying the landscape
Therefore, in order to meet their needs for multi-scene shooting, most users have an average of 2-3 camera applications installed in their mobile phones, and multiple applications need to be switched during use, which is cumbersome to operate

Method used

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  • Method for automatically judging a scene type to carry out image filter processing
  • Method for automatically judging a scene type to carry out image filter processing

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] Such as figure 1 As shown, a technology for automatically judging the type of scene and performing filter processing, the detailed steps are as follows:

[0020] 1) The present invention divides natural photography or real-time images into the following eight categories:

[0021]

[0022] 2) Use the neural network in deep learning to train the above classification. Mainly include steps:

[0023] a) According to the above eight categories, sort out...

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Abstract

The invention provides a method for automatically judging a scene type to carry out image filter processing. Based on a neural network, different filters are loaded according to different scenes, a neural network model is trained which can identify eight different scenes in real-time/a later stage: scenery, interior, portrait (make-up), person (whole body), skin, and food. The scene based on the feedback of neural network can be rendered by selecting one of the preset filters in each scene, which can achieve a more targeted effect of scene filter rendering.

Description

technical field [0001] The invention relates to a digital image filter rendering technology, in particular to a method for automatically judging the type of a scene and performing image filter processing. Background technique [0002] In the overall technology of digital image filter rendering, it is very important to select a specific filter for the scene. Firstly, there are many types of scenes to be photographed. If you use the microdermabrasion filter for portraits on food, it will not only fail to beautify the food, but will also filter out the original color of the food; secondly, if the preset filter can only be used for One kind of scene cannot be rendered in a targeted manner according to different scenes, and it is difficult to meet the needs of users. [0003] Most of the camera applications on the market have a lot of filters, for example, there are many filters for portrait makeup, portrait beauty, food, and landscape, and some cameras are very popular because ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00
CPCG06T3/0012
Inventor 袁亚荣容李庆
Owner 广州二元科技有限公司
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