Image management method and apparatus
An image management and image technology, applied in the field of mobile communication, can solve the problem of time-consuming and labor-intensive, and achieve the effect of convenient image management
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Embodiment 1
[0019] figure 1 It is a flowchart of an image management method according to an embodiment of the present invention, such as figure 1 shown, including:
[0020] S101: Acquire multiple images created within a predetermined period of time and identify repeated images in the multiple images;
[0021] S102: According to the preset poor-quality image category, determine whether the repeated image is a poor-quality image;
[0022] S103: When the repeated image is a poor quality image, determine the quality value of the repeated image;
[0023] S104: Determine a duplicate image to be deleted according to the quality value of the duplicate image.
[0024] Usually, a large amount of redundant data in digital photos are those photos that users take repeatedly in order to obtain better shooting effects in the same scene. Apparently these repeated photos were taken around the same time. Therefore, de-duplication processing can be performed after being concentrated in a certain contin...
Embodiment 2
[0032] figure 2 It is a schematic diagram of an image management device according to an embodiment of the present invention, such as figure 2 As shown, it includes: acquisition module 201: used to acquire multiple images created within a predetermined period of time; identification module 202: used to identify repeated images in the multiple images; classification module 203: used to quality image category, to determine whether the repeated image is a poor quality image; the calculation module 204: used to determine the quality value of the repeated image when the repeated image is a poor quality image; the deletion module 205: used to determine the quality value of the repeated image according to the The quality value of duplicate images, which determines which duplicate images are to be removed. The preset poor-quality image category includes at least one of the following: ghosting, underexposure, overexposure, portrait not at the preset position, eyes closed, etc., when ...
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