The paper proposes a new adaptive weighted average filtering algorithm based on the feature of local spatial pixels that removes the 'salt & pepper' noise.
提出了一种新的基于局部空间像素特征的椒盐噪声自适应加权滤波算法。
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To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
According to poor performance in denoising laser gyro random noise by using traditional filtering methods, an improved spatial correlation filtering algorithm is presented.