Filtering noise reduction system and filtering noise reduction method based on FPGA (field programmable gate array) platform

Abstract

The invention relates to a filtering noise reduction system and a filtering noise reduction method based on an FPGA (field programmable gate array) platform, wherein the filtering noise reduction system comprises a template generating module, a data analysis module, a median filtering module, a mean filtering module and a data output module, wherein the template generating module comprises four paths of FIFO (first in first out) memories FIFO1 to FIFO4 and a path of data input, continuous four-frame video image data led by the data input are stored in the four paths of FIFO memories FIFO1 to FIFO4, and a 5*5 neighborhood template is formed; the data analysis module judges the noise type, data in the 5*5 neighborhood template is selectively transmitted to the corresponding median filtering module or the mean filtering module according to the noise type, salt and pepper noise is inhibited and removed through filtering by the median filtering module, or Gaussian noise is inhibited and removed through filtering by the mean filtering module. The system and the method have the advantages that corresponding filtering modes can be automatically selected according to different types of noise in videos, and the real-time noise reduction processing on the videos is carried out.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to an FPGA platform-based filtering and denoising system and filtering and denoising method which are applied to real-time video denoising and can effectively filter salt and pepper noise or Gaussian noise interference. Background technique [0002] The noise mixed in the process of collecting image signals by the image sensor is mainly Gaussian noise and salt-and-pepper noise. The Gaussian noise is Gaussian-distributed, mainly generated by resistive components, and the salt-and-pepper noise is mainly white spots on black images caused by image cutting. Noise or Poisson noise generated during photoelectric conversion. The main goal of video image denoising is to filter out the noise while keeping the detail information as good as possible, and it is required to reduce the visual degradation caused by filtering in the denoised video image. [0003] Video image noise reducti...

AI Technical Summary

Problems solved by technology

The main disadvantage of the pixel domain noise reduction algorithm is that it is easy to introduce spatial domain degradation such as time domain degradation and over-smoothing into the denoised video image. So far, there is no denoising algorithm suitable for multiple noise levels.

In addition, in the pixel domain noise reduction algorithm, motion estimation is often used to obtain relevant information in the time domain, but the existence of noise easily affects the accuracy of motion estimation, thereby reducing the performance of noise reduction.

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