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: acquiring a plurality of frames of original images, synthesizing according to the plurality of frames of original images to obtain a high-dynamic-range image, determining a matched noise reduction model according to ambient brightness, and performing noise reduction on the high-dynamic-range image by adopting the noise reduction model to obtain a target noise reduction image. According to the method, the ambient brightness of a plurality of frames of original images is collected, after a matched noise reduction model is determined, noise reduction processing is carried out on a high-dynamic-range image, and more image details are reserved while the image purity is ensured. In addition, noise reduction processing is carried out after multiple frames of original images are synthesized; therefore, both the bright light area and the dark light area in the synthesized high-dynamic-range image can be denoised, the noise reduction effectiveness is improved, image details are reserved while the image noise of the target noise-reduced image obtained through noise reduction is reduced, and an imaging effect with better definition is obtained.

Description

technical field [0001] The present application relates to the technical field of image processing, 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 make up for the disadvantage that a captured image cannot clearly present every detail in the image in a night scene or dark light ...

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned HDR photography technology, on the one hand, cannot guarantee that the camera does not shake when shooting multiple images. Once there is shaking, there will be misalignment between images when the final image is synthesized, resulting in "ghosting". On the other hand, Noise will be introduced in the process of acquiring multiple frames of original images, resulting in unclear final composite images

Images