A method and system to obtain static image

Abstract

The disclosed method to acquire static image comprises: according to target image size and current video size, configuring image size information for the acquisition device; switching into static image interface to receive the current frame image as the static image processed by configured image size information. This invention can accelerate acquisition speed for static image, and improves image quality.

Description

technical field [0001] The invention relates to image acquisition technology, in particular to a method and system for acquiring still images. Background technique [0002] FIG. 1 is a flow chart of obtaining a still image by an image obtaining device in the prior art. The process includes the following steps: [0003] In step 101, the image capture device driver system allocates video interface (Capture Pin) and static image interface (Still Pin) bandwidth and memory for the image capture device. [0004] Step 102, start the video stream. [0005] Step 103, when the drive system of the image acquisition device receives the instruction to acquire a still image, it stops the current video (Video) stream, and calls a general video initialization function to configure a static image register for the image acquisition device. [0006] Step 104, the image acquisition device drives the system to switch to the static image interface, and acquires the current frame output by the ...

AI Technical Summary

Problems solved by technology

[0011] Since the register configuration of the sensor takes 10 milliseconds, and there are hundreds of sensor registers to be configured, it takes a long time

At the same time, since the initial configuration of the sensor register is fixed, it is impossible to adapt to various scenarios, so it takes a certain amount of adjustment time to achieve the best results for parameters such as exposure and white balance. In this case, the image acquisition device acquires The image quality of the first few frames is poor, and the image of the first few frames needs to be discarded through the driver until the sensor register configuration adjustment is basically in place, and then obtain a static image

[0012] The problem with this method is that it takes a long time to obtain a static image, and because it is difficult to determine how many frames of images are lost to ensure the quality of a static image, it cannot guarantee that the quality of a static image is consistent with that of a video image, and it is impossible to achieve what you see is what you get

In this process, there are the same problems as step 103: the sensor register configuration takes a long time, and it is difficult to grasp the time to wait for the image adjustment to achieve the best effect. If too many frames are lost, the time delay will be too long; Guaranteed image quality

But this method also needs to repeatedly configure a large number of registers of digital signal processors and sensors, and the parameters that affect image quality are not only exposure and white balance, etc., it is difficult to ensure that the image quality is completely uniform through a few registers

In particular, parameters such as exposure and white balance have two working modes: manual and automatic. In automatic mode, the corresponding register values ​​are constantly adjusted, and the values ​​of parameters such as exposure and white balance that are set back will not take effect.

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