Image processing method, storage medium and terminal equipment

Abstract

The invention discloses an image processing method, a storage medium and terminal equipment, and the image processing method comprises the steps: determining a plurality of feature images of a to-be-processed image according to the to-be-processed image and a reference image corresponding to the to-be-processed image; and inputting the to-be-processed image and the plurality of feature images into a trained first network model, and extracting an output image corresponding to the to-be-processed image through the preset network model. The image details of the to-be-processed image are enhanced by adopting the plurality of feature images corresponding to the to-be-processed image obtained according to the reference image, so that the signal-to-noise ratio of the output image can be improved, the noise of the output image can be reduced, and the image quality of the output image is improved.

Description

technical field [0001] The present invention relates to the field of ultrasound technology, in particular to an image processing method, a storage medium and a terminal device. Background technique [0002] With the development of science and technology, camera technology based on technology has become more and more mature. In daily production and life, it has become a norm to use the built-in camera of a smart mobile terminal (such as a smart phone, a tablet computer, etc.) to take pictures. Therefore, with the normalized development of the demand for taking pictures, how to better meet the needs of users for taking pictures has become the main direction of development, for example, to meet the needs of users for clear pictures in multiple scenes at night and during the day. [0003] In night scenes or dark light conditions, due to the low photon number and low signal-to-noise ratio, the short-exposure images acquired by the camera are noisy, and the details in the images c...

AI Technical Summary

Problems solved by technology

However, when using the hardware method, there should be corresponding problems. For example, high ISO will amplify the noise and reduce the signal-to-noise ratio; although increasing the exposure time can effectively increase the number of photons, it will be introduced due to camera shake or object movement. Blurred, the flash will cause uneven lighting and fail to focus on the foreground

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