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. The method comprises the following steps: acquiring an original image; carrying out image blurring processing on a to-be-processed image multiple times to obtain multiple blurred images, wherein the blurring scales of the multiple blurred images are different, and the to-be-processed image is the original image or an image obtained after image denoising processing is carried out on the original image; performing difference processing for multiple times to obtain a plurality of difference images, and selecting two blurred images from the plurality of blurred images for difference calculation in each time of difference processing; performing image fusion processing on the plurality of differential images to obtain an effective information image; and performing enhancement processing on the to-be-processed image according to the effective information image to obtain a processed image. Through the scheme of the invention, effective information in the original image can be enhanced, so that the image quality is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method and device, a storage medium, and a terminal. Background technique [0002] At present, with the development of terminal technology, image recognition is more and more widely used, and the terminal recognizes acquired images to obtain a recognition result. It can be understood that the higher the image quality, the faster the recognition speed and the higher the recognition accuracy. If the image quality is low, not only the recognition speed is slower, but also may cause recognition errors. Therefore, the image Quality is especially important for image recognition. [0003] In the prior art, since the image acquisition process is usually easily affected by various factors (for example, light interference, hardware device limitations), the difference between valid information and invalid information in the acquired image is small, and ...

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Problems solved by technology

It can be understood that the higher the image quality, the faster the recognition speed and the higher the recognition accuracy. If the image quality is low, not only the recognition speed is slower, but also may cause recognition errors. Therefore, the image Quality is especially important for image recognition

[0003] In the prior art, since the image acquisition process is usually easily affected by various factors (for example, light interference, hardware device limitations), the difference between valid information and invalid information in the acquired image is small, and the image quality is low. There may be errors in identifying

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