Image storage method and device based on image processing

Abstract

The invention relates to an image storage method and device based on image processing, and the method comprises the steps: obtaining an image storage instruction, obtaining an original image, judgingwhether a preset target exists in the original image or not, and determining the image depth of the original image as a first digit if the preset target does not exist in the original image, i.e., theimage depth is a smaller digit; unnecessary storage space waste being avoided, the storage space being reduced, and the calculation amount being reduced; if the preset target exists in the original image, acquiring the proportion of the preset target in the original image, determining the image depth according to the proportion, acquiring the required storage space of the original image accordingto the determined image depth, finally determining a target storage area matched with the required storage space, and storing the original image into the target storage area. Therefore, reliable storage of the original image can be guaranteed, the situation of insufficient storage space is avoided, and waste of the storage space is also avoided.

Description

technical field [0001] The invention relates to an image storage method and device based on image processing. Background technique [0002] Image depth is the level of color detail in a single pixel. Pixel depth refers to the number of bits used to store each pixel, and it is also used to measure the resolution of an image. Pixel depth determines the number of colors per pixel in a color image, or the number of possible gray levels per pixel in a grayscale image. Therefore, image depth and pixel depth can in some sense mean the same thing. Common image depths are 8bit, 10bit and 16bit. The larger the number of bits used by each pixel, the higher the resolution of the image, the clearer the image, and correspondingly, the larger the storage space required for the image. [0003] At present, the image depth of the image is usually fixed, and the following problems will occur: if there is no target in the image, the usable value of the image is relatively low, and if a rela...

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Problems solved by technology

[0003] At present, the image depth of the image is usually fixed, and the following problems will occur: if there is no target in the image, the usable value of the image is relatively low, and if a relatively high image depth is used, unnecessary storage may be wasted Space; if there is a target in the image, and the usable value of the image is relatively high, if a relatively low image depth is used, the color details of the image may not be guaranteed, and the image may be divided into blocks or layers, which will eventually lead to The image cannot be effectively homogenized

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