Image processing method and device, storage medium and terminal

Abstract

The invention discloses an image processing method and device, a storage medium and a terminal, and the method comprises: providing a to-be-processed image, and determining a statistical histogram ofthe to-be-processed image; determining a global mapping weight value according to the number of pixels of which the brightness is smaller than a preset brightness threshold in the statistical histogram, wherein the larger the number of pixels of which the brightness is smaller than the preset brightness threshold is, the larger the global mapping weight value is; performing brightness enhancementprocessing on the to-be-processed image to obtain a brightness enhanced image, and determining a statistical histogram of the brightness enhanced image; and according to the global mapping weight value, the statistical histogram of the to-be-processed image and the statistical histogram of the brightness enhancement image, performing global mapping processing on the statistical histogram of the to-be-processed image to obtain a global mapping statistical histogram. The method has the advantages that the brightness of the dark area pixels can be improved to a higher degree, detail adjustment isperformed on the image in the process of achieving the dark light enhancement effect, and better flexibility is obtained.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method and device, a storage medium, and a terminal. Background technique [0002] In existing electronic devices, a liquid crystal display (LCD) is commonly used as a display device, and the LCD screen is illuminated by its built-in backlight module. Users can adjust the brightness of the screen by adjusting the brightness of the backlight module to adapt to different viewing contents. However, the brightness adjustment range of the backlight module is limited, and it cannot provide a more comfortable screen brightness for all occasions. For example, when the ambient light is weak, a high backlight brightness will irritate the eyes, and dim details on the screen cannot be clearly expressed under a low backlight. [0003] The dark light enhancement algorithm was created to solve this problem. When the ambient light is dim, increase the brightness of ...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing global mapping processing method, the overall brightness of the image is usually adjusted. If most of the pixels in the original image are bright, this processing method will lower the overall image brightness, resulting in darker pixels. Darker, unable to achieve the effect of dark light enhancement

And it is impossible to adjust the details of the image, and the flexibility is poor

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