Image processing method and device

Abstract

The invention discloses an image processing method and device; the method includes: identifying images meeting similar conditions from an image collection, and dividing the images meeting similar conditions in the image collection into corresponding groups; Extract feature points in the image, mark the feature points matched by any two images in the grouping, and determine the feature area including the feature point marked for the corresponding image in each image; use the minimum feature area in the grouping The image is a reference image, and the transformation relationship between the feature area of ​​the reference image and the feature area of ​​other images in the group, and the difference area of ​​the other images relative to the reference image are determined; to store the reference image, the The images in the group are stored in a manner of transforming the relation and the difference region. The implementation of the present invention can save the overhead of storage space caused by storing images, and support efficient search and use of images.

Description

technical field [0001] The present invention relates to image processing technology, in particular to an image processing method and device. Background technique [0002] Current terminals, such as smart phones and tablet computers, generally have a shooting function. By configuring a camera, the user can store images taken by the user and share them anytime and anywhere. However, as the resolution of the camera continues to increase, the storage space requirements for storing images continue to increase. [0003] In order to reduce the storage space of the images taken by the user, save the storage space cost of the terminal, and avoid affecting the user’s ability to install a limited number of applications in the terminal, for example, there are currently the following solutions: [0004] 1) The user manually organizes and deletes unnecessary images stored in the terminal. This method requires manual operation, and it is difficult for the user to screen out the images to ...

AI Technical Summary

Problems solved by technology

[0004] 1) The user manually organizes and deletes unnecessary images stored in the terminal. This method requires manual operation, and it is difficult for the user to screen out the images to be deleted in a short time, which is inefficient. In most cases, the user does not want to delete the image, even if it is A large number of similar images captured by continuous shooting, users still want to keep

[0005] 2) Compression processing for each image can save the cost of storage space, but compressing the image will inevitably affect the quality of the image, and it is difficult to meet the needs of users for high-quality images in some occasions

[0006] 3) Back up the local images of the terminal through the cloud storage service, and delete some local images of the terminal. Although this can save the storage space of the terminal, users need to log in to the cloud to download images when they need to use them. It can be seen that the efficiency of user acquisition of images is limited by the network Due to the influence of uncertain factors such as conditions, it is difficult to ensure that users can efficiently search and use the images that have been taken

[0007] It can be seen that for the current situation where users generally store a large number of images, there is no effective solution in related technologies for how to save the cost of storage space caused by storing images and support users to quickly search and use the images that have been taken

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