An imaging method, device and mobile terminal

Abstract

The invention discloses an imaging method, device and mobile terminal. The imaging method includes: using a prism group to perform total reflection and spectroscopic processing on light entering from a lens of a camera to form two parts of light; and imaging the two parts of light through the first camera assembly and the second camera assembly respectively. In the present invention, since the light received by the sensors of the two camera assemblies comes from the same optical path, there is no deviation in the image, and pixel-level alignment can be achieved, and the structure also ensures that the thickness of the mobile terminal does not increase, and then there is no need to consider the image when the dual-camera image fusion Bias, reducing software cost and computational bias.

Description

technical field [0001] The invention relates to the technical field of mobile terminals, in particular to an imaging method, device and mobile terminal. Background technique [0002] With the development of the mobile Internet and the popularization of social applications, there are more and more mobile terminals with powerful camera functions, and the camera effect of the mobile terminals has become a hot spot that people pay attention to. [0003] In order to obtain a better camera experience and image quality, dual cameras are becoming more and more popular. Dual cameras mainly include four categories: [0004] The first category: Both cameras are color cameras. These two cameras are divided into primary and secondary cameras. The main camera is responsible for imaging, while the secondary camera is responsible for cooperating with the main camera to achieve binocular depth of field measurement data. The depth of field is realized according to the distance information co...

AI Technical Summary

Problems solved by technology

[0008] For the above-mentioned second type of dual-camera, in order to superimpose and fuse the two images of the two cameras, image synchronization and pixel-level alignment are required. deviation

In reality, we can only make the two cameras as close as possible, set up two optical holes for the imaging of the two cameras, and then match the same pixels of the black and white and color pictures according to the overlapping parts of the two cameras, and then fuse them together. This requires corresponding calculations based on the pre-calibrated data of the two cameras to achieve the dual-camera effect, and the implementation process is relatively complicated.

[0009] In view of the above-mentioned defects in the implementation of the second type of dual cameras, how to reduce the software cost and calculation deviation without considering the image deviation when the dual camera images are fused, there is no relevant solution in the prior art

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