Image processing method and mobile terminal

Abstract

The embodiment of the invention discloses an image processing method. The method comprises the following steps: obtaining the depth of field of a first view finding picture by using an infrared depth of field sensor in dual cameras of a mobile terminal; obtaining a second view finding picture by using a color camera in the dual cameras of the mobile terminal; carrying out image processing on the second view finding picture according to the depth of field, and thus obtaining an image with a shallow depth of field. The depth of field obtained by using the infrared depth of field sensor can be used for carrying out image processing on the view finding picture shot by the color camera, so that the image with the shallow depth of field is realized.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image processing method and a mobile terminal. Background technique [0002] With the vigorous development of the Internet industry, there are more and more mobile terminal users, and the functions of mobile terminals are becoming more and more powerful, which can take pictures, take pictures, surf the Internet, play games and so on. With the improvement of people's quality of life, the requirements for taking pictures are getting higher and higher, such as the realization of shallow depth of field or virtualization effect on mobile terminals. [0003] In the prior art, in order to achieve the background shallow depth of field effect, software processing methods are usually used. One is that the user manually draws the outline of the subject on the photo after taking a photo, and the area outside the outline is the background, and then the s...

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Problems solved by technology

[0003] In the prior art, in order to achieve the background shallow depth of field effect, software processing methods are usually used. One is that the user manually draws the outline of the subject on the photo after taking a photo, and the area outside the outline is the background, and then the software blurs the background area. Manually drawing the outline of the object has the problem of cumbersome production process and single depth of field in the photo; another method is to take two photos of different positions (such as dual cameras), calculate the depth of field information of the photo through the phase method, and then distinguish the depth of field according to the photo. The main body and the background of the photo are then blurred. The algorithm for calculating the depth of field of the photo through two photos is very computationally intensive and cannot be run in real time.

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