Information processing method and device and storage medium

Abstract

Embodiments of the invention disclose an information processing method and device, and a storage medium. The method comprises the steps of collecting original image information of a target object; performing feature extraction on the original image information, preset original image coding data and preset quantum response information according to preset feature extraction information to obtain current feature information, wherein the preset feature extraction information represents that feature information capable of distinguishing each scene is extracted; performing scene feature judgment on the current feature information according to a corresponding relationship between a preset scene and the feature information to obtain current scene information; and obtaining a current imaging parameter corresponding to the current scene information based on a corresponding relationship between a preset scene and the imaging parameter, and transmitting the current imaging parameter to a shooting module, so that the shooting module generates an output image of the target object after performing image optimization by adopting the current imaging parameter.

Description

technical field [0001] The embodiments of the present application relate to intelligent photographing technology, and in particular to an information processing method and device, and a storage medium. Background technique [0002] At present, image processing is mainly to classify images or identify objects after the images are captured, for example, classify images based on image texture and shape features; or use artificial intelligence technology to identify objects in images; these No operation can achieve the improvement of image effect. [0003] Furthermore, in order to improve the shooting effect of the camera, usually the user manually selects the optimization mode, and uses the optimization mode to capture the image, or first captures the image, and then performs some specific optimization operations on the image. These two optimization methods are for all The image is specifically optimized. However, the image shooting scenes are very different, and the places th...

AI Technical Summary

Problems solved by technology

[0002] At present, image processing is mainly to classify images or identify objects after the images are captured, for example, classify images based on image texture and shape features; or use artificial intelligence technology to identify objects in images; these No operation can achieve the improvement of image effect

[0003] Furthermore, in order to improve the shooting effect of the camera, usually the user manually selects the optimization mode, and uses the optimization mode to capture the image, or first captures the image, and then performs some specific optimization operations on the image. These two optimization methods are for all The image is specifically optimized. However, the image shooting scenes are very different, and the places that need to be optimized are often different. Neither of these two optimization methods can improve the image effect.

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