Image background blur method based on saliency map

A bokeh and conspicuous technology, applied in the fields of rendering and beautification, and special effects of images, can solve the problems of inability to automatically complete, difficult to adapt to complex and changeable image content, inconvenient for large-scale processing, etc., to achieve high adaptability and simple algorithm. Efficient, highly automated effects

Active Publication Date: 2018-05-29
TIANJIN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, some image processing software can complete this processing well, but its processing methods all rely on the manual labeling of the foreground area by people, which cannot be completed automatically, and are not convenient for mass processing; It is a regular shape, which is difficult to adapt to complex and changeable image content

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  • Image background blur method based on saliency map
  • Image background blur method based on saliency map
  • Image background blur method based on saliency map

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Embodiment Construction

[0023] The realization of the proposed technology must first complete the generation and binarization of the saliency map, and there are many technologies that can complete this process. Although there are flaws in the processing effect of images with complex scenes, since this technology realizes the self-adaptation of fuzzy shapes, it can still handle the failure areas of saliency detection well, so there is no problem in the generation of saliency maps during the implementation process. Very demanding. The general procedure of the proposed algorithm can be found in figure 1 . The specific details are as follows:

[0024] 1. Use more mature saliency detection technology to obtain the saliency map of the image, and then binarize or segment the saliency map to obtain a 0-1 matrix M BS , and at the same time get the foreground index matrix I f and background index matrix I b , defined as follows:

[0025] I f = M BS , I b = 1 m×n -M BS

[0026] Among them, 1 m×n is...

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Abstract

The invention relates to an Image background blurring method based on a saliency map, and the method comprises the steps: the saliency map of an image is obtained through a saliency detection, the saliency map is performed the binaryzation and the segmentation process, a foreground index matrix and a background index matrix are obtained simultaneously; the overall fuzzy of the image can be realized through a distance weighted average algorithm; the original image and the fuzzy image are fused by utilizing the foreground index matrix and a background index matrix, and the fusion of the original image and the fuzzy image is a final processing result. According to the invention, the foreground area can be maintained effectively and the background area can be blurred effectively, and there is no need to manually mark in the whole process.

Description

technical field [0001] The present invention relates to the field of digital image processing, and more specifically, relates to special effects, rendering and beautification of images and the like. Background technique [0002] Image background blurring is a very common process in image rendering, beautification, enhancement and other tasks. It can effectively highlight the scene and dilute the background information, thereby improving the visual effect. At present, some image processing software can complete this processing well, but its processing methods all rely on the manual labeling of the foreground area by people, which cannot be completed automatically, and are not convenient for mass processing; It is a regular shape, and it is difficult to adapt to complex and changeable image content. Contents of the invention [0003] The present invention proposes a background blur processing algorithm based on saliency detection, and the background blur processing is autom...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
CPCG06T11/00G06T2210/62
Inventor 周圆霍树伟崔波陈莹侯春萍
Owner TIANJIN UNIV
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