An image recommendation method and device

Abstract

Embodiments of the present invention provide an image recommendation method and device, which relate to the field of image processing and are used to improve the efficiency and accuracy of image recommendation, further improve the speed of image management, and save storage space. The method includes: acquiring a target image; acquiring parameter information of the target image, the parameter information including shutter time and motion parameters; determining the image quality of the target image based on the parameter information of the target image; The target image is recommended when the image quality of the image meets any preset condition, wherein the preset condition includes blur, overexposure and underexposure.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image recommendation method and device. Background technique [0002] With the rapid development of technology, more and more electronic devices such as cameras, mobile phones, and tablet computers have appeared. These electronic devices have a shooting function, and users can use these electronic devices to take various images. With the rapid popularization of electronic devices and the formation of shooting habits of users, the number of images taken by users has increased sharply. Therefore, in order to save image storage space, it is necessary to manage images reasonably. [0003] At present, due to the limitations of most users' shooting skills and shooting habits, there are some blurred images in the captured images. The image value of such images is low, and some images are even invalid. Later, when users manage these When using images, it is necessary to check ...

AI Technical Summary

Problems solved by technology

[0005] However, judging the image only by the sharpness feature value is easy to make mistakes, for example, deleting some images with a blur effect, and these images are a specific blurring method, which is the image that the user needs

In addition, because the definition of the current image is relatively high, it takes a long time to decode the original image of the image, and if the thumbnail of the image is used, although the efficiency can be improved to a certain extent, due to the clarity of the thumbnail and the original image The degree difference is large, which will also produce a large deviation

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