High-efficient image denoising algorithm and hardware realization apparatus of algorithm

Abstract

The present invention discloses a high-efficient image denoising algorithm and a hardware realization apparatus of the algorithm. The technical scheme comprises the steps of carrying out a gradient pre-detection of a central point of a (3*3) matrix, determining whether the noise is salt-and-pepper noise by the gradient, carrying out fast median filtering if the noise is the salt-and-pepper noise and carrying out orientation average filtering to filter Gauss noise if the noise is not the salt-and-pepper noise, and directly outputting non-noise points. The technical scheme can obtain an effect exceeding the effect of only carrying out median filtering or only carrying out average filtering under the hardware realization cost of being in need of only four rows of row cache, and has a better retentivity of image edges, and has flexible selectivity in filtering mode.

Description

Technical field:

[0001] The present invention relates to a video image processing system, and more specifically relates to an efficient image noise reduction algorithm and a hardware implementation device thereof during video image processing. Background technique:

[0002] In the process of shooting, processing and transmitting video image signals, it is inevitable to be disturbed by some noise. The most common types of noise are salt and pepper noise and Gaussian noise, which seriously affect the visual effect of video images, so the video images are filtered Noise reduction has become an important part of video processing system.

[0003] Conventional filtering algorithms are divided into linear filtering and nonlinear filtering. Mean filtering is the most commonly used linear filtering algorithm, which can effectively filter out Gaussian noise, and at the same time make the image blurred, resulting in the loss of image edge information. For salt and pepper noise, Mean f...

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