Real-time video denoising method based on pre-filtering for very large noise

Abstract

The invention belongs to the field of video information processing and introduces a pre-filtering idea to provide a real-time video de-noising method for super-loud noises based on pre-filtering. The real-time video de-noising method comprises the following steps: respectively adopting mean value down-sampling and Gaussian filtering to pre-filter an original image; calculating a weight on the basis and using a former frame when weighting and averaging; using a de-noised image to replace the original image to obtain a time domain filtering result; and finally, combining a space filtering result to carry out weighting and averaging again so as to obtain a final de-noised image. According to the real-time video de-noising method provided by the invention, a de-noising effect of an algorithm is improved by adopting the pre-filtering idea; the real-time video de-noising method particularly has a very obvious de-noising effect for the super-loud noises, has good instantaneity and less resource consumption and is easy to realize in hardware equipment.

Description

technical field [0001] The invention belongs to the field of video information processing, and relates to a video denoising method, in particular to a real-time video denoising method based on image pre-filtering processing for super noise. Background technique [0002] One of the important problems faced by the field of digital imaging is the problem of noise removal. Especially in low light conditions, it is necessary to increase the sensor sensitivity ISO. This will bring super noise that is several times or even dozens of times larger than normal shooting. How to obtain good imaging effects under low illumination conditions is one of the future development directions of digital imaging equipment. [0003] From a hardware point of view, auxiliary light sources such as flash, infrared light, and LED fill light can be used to enhance image quality, but their effects are limited. For example, the flash cannot be used in continuous video, the infrared light has an effectiv...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the shortcomings of the existing weighting method based on the similarity of pixel values, and propose a method that effectively solves ghost images, has good denoising effect, and has good real-time performance and low resource consumption, and can be used for video denoising of digital imaging equipment. noise method

This method maintains the characteristics of good real-time performance and low resource consumption of the original method. On the other hand, it overcomes the problem of poor denoising effect when faced with super large noise.

Images