An image acquisition method and device
An image acquisition and image technology, applied in the field of image processing, can solve the problems of poor image quality and low image transparency
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Embodiment 1
[0048] figure 2 A schematic diagram of the image acquisition process provided by the embodiment of the present invention, the process includes the following steps:
[0049] S101: Identify a first brightness value of each first pixel point in the first image, and determine a first mean square error of the first image according to the first brightness value of each first pixel point.
[0050] The image acquisition method provided by the embodiment of the present invention is applied to an electronic device, and the electronic device may be an image acquisition device, such as a video camera.
[0051] The electronic device can collect images in real time. In the embodiment of the present invention, the image currently collected by the electronic device is used as the first image. After the electronic device collects the first image, it can identify the first brightness value of each first pixel in the first image, and determine the first average value of the first image accordi...
Embodiment 2
[0064] In order to ensure that the transparency of the collected target image meets the requirements, an accurate mean square error threshold needs to be saved in the electronic device. Therefore, on the basis of the above embodiments, in the embodiment of the present invention, the process of pre-saving the mean square error threshold includes:
[0065] In the wide-angle lens scene, acquire a test image, identify the third brightness value of each third pixel point in the test image, and determine the third brightness value of the test image according to the third brightness value of each third pixel point Three mean square deviations, the third mean square deviation is used as the mean square deviation threshold and saved.
[0066] When saving the mean square error threshold, first adjust the lens to a wide-angle scene, and collect test images in the wide-angle scene. In order to further make the determined mean square error threshold more accurate, you can try to make the te...
Embodiment 3
[0070] In the above-mentioned embodiments, the mean square error of the image is determined according to the brightness value of each pixel in the image, that is, the mean square error of the image is determined based on the global idea, and the mean square error of the image determined in this way may be inaccurate, for example, the edge area of the image When the pixel luminance value is small and the pixel luminance value in other areas is large, the image mean square error determined based on the global idea may be too large or too small. In order to make the determination of the image mean square error more accurate to a certain extent, On the basis of the above embodiments, in the embodiment of the present invention, identifying the brightness value of each pixel in the image, and determining the mean square error of the image according to the brightness value of each pixel includes:
[0071] Divide the image into multiple regions according to preset rules, and for each...
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