Image blurring method and image blurring device

Abstract

The invention discloses an image blurring method and an image blurring device. The image blurring method comprises the following steps: triggering a first camera and a second camera to synchronously collect images on a same plane along the same shooting direction so as to obtain a first image and a second image; obtaining depth information of the first image according to the first image and the second image, wherein the depth information of the first image includes the distance between a shot object corresponding to each pixel point on the first image and the plane; selecting an area on the first image as a focusing area; calculating a deviation value of each pixel point on the first image according to the focusing area; and performing blurring treatment on all of the pixel points according to absolute values of the deviation values of the pixel points, wherein positive correlation is formed between the blurring degrees of the pixel points and the absolute values of the deviation values of the pixel points. By adopting the technical scheme provided by the invention, automatic blurring of the images can be realized.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image blurring method and an image blurring device. Background technique [0002] With the development of science and technology, the functions of mobile terminals (such as mobile phones, tablet computers, etc.) are becoming more and more rich and powerful. At present, most mobile terminals are equipped with high-performance cameras so that users can use mobile terminals to take pictures or video . [0003] Although the mobile terminal is equipped with a high-performance camera, due to reasons such as cost and volume, there is still a certain gap between the camera equipped on the mobile terminal and the SLR camera at present, and the photographic effect cannot be compared with the SLR camera. Therefore, the user can only improve the quality of the image by processing the image captured by the mobile terminal in the later stage. [0004] In the process of image processing, bl...

AI Technical Summary

Problems solved by technology

Although currently image processing tools can make the image blurred, when the user needs to blur the image, the user is required to manually select the area to be blurred in the image. Gaussian blur of the same or gradient scale is performed on the area, and an image with a background blur effect is output. The entire operation process is cumbersome and requires a lot of time wasted by the user

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