A real-time video denoising method based on Kalman filtering and bilateral filtering

Abstract

The invention belongs to the field of video processing and provides a video real-time denoising method based on kalman filtering and bilateral filtering. The video real-time denoising method based on the kalman filtering and the bilateral filtering comprises the following steps of obtaining a current-moment image frame to be processed and n saved denoised image frames before a current frame; carrying out pre-filtering processing on the current-moment image frame to be processed by utilizing a mean filter; carrying out motion estimation on the image frame after being subjected to pre-filtering processing by utilizing a block matching method; carrying out denoising processing by utilizing a kalman filtering method based on a motion estimation result; carrying out denoising processing by utilizing a bilateral filter; combining a denoised image obtained by the kalman filtering with a denoised image obtained by the bilateral filtering and weighting to obtain a final denoised image. According to the video real-time denoising method based on the kalman filtering and the bilateral filtering, which is disclosed by the invention, the denoising processing of a large noise video can be realized, and the denoising effect is better; because no complex iterative computation exists, the denoising method is easily realized by the hardware such as an FPGA (field programmable gate array), so that the real-time denoising of the large noise video can be realized.

Description

technical field [0001] The invention belongs to the field of video processing, mainly relates to video denoising, and particularly refers to a real-time video denoising method based on Kalman filtering and bilateral filtering, which can be used for real-time denoising of natural large noise videos. Background technique [0002] With the rapid development of digital photoelectric imaging technology, digital photoelectric imaging equipment has been widely used in computational photography, security monitoring, robot navigation and military reconnaissance and other fields. Usually, the sensors of digital photoelectric imaging devices are composed of CCD or CMOS. During the imaging process, due to the influence of optical noise, noise of components such as resistors and capacitors, sensor noise, and circuit noise, the output image will inevitably contain Many noises, which not only destroy the real information of the image, but also seriously affect the visual effect of the imag...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the above-mentioned prior art cannot effectively denoise the video with high noise in real time, the present invention proposes a real-time video denoising method based on Kalman filtering and bilateral filtering, which can perform real-time denoising on the video. Noise reduction processing, and has a good denoising effect

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