Image noise reduction method and device, electronic equipment and storage medium

Abstract

The invention provides an image noise reduction method and device, electronic equipment and a storage medium. The method comprises the following steps: determining exposure parameters according to a shooting scene, shooting by adopting the exposure parameters to obtain a shot image, determining a matched noise reduction model according to the equipment attribute of imaging equipment for shooting, and inputting the exposure parameters and the shot image into the noise reduction model to perform noise reduction on the shot image, wherein the noise reduction model is learned to obtain a mapping relation between the exposure parameters and the noise characteristics. According to the method, after the matched noise reduction model is determined according to the equipment attribute of the imaging equipment used for shooting, noise reduction processing is carried out on the shot image shot in the current shooting scene, and more image details are reserved while the image purity is ensured. Besides, the shot image is subjected to noise reduction through the noise reduction model matched with the equipment attribute, the noise characteristic can be better identified, the purpose of noise reduction is achieved, the noise reduction effect of the image is improved, and a clearer image can be obtained.

Description

technical field [0001] The present application relates to the field of imaging technology, and in particular to an image noise reduction method, device, electronic equipment and storage medium. 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 related technologies, in order to achieve a better imaging effect when capturing an image, multiple frames of original images are collected and synthesized based on the mult...

AI Technical Summary

Problems solved by technology

However, it is inevitable to introduce noise in the process of acquiring multiple frames of original images, resulting in unclear final composite captured images

Images