基于自适应判决反馈均衡器的盲图像复原算法

自适应判决反馈均衡器(ADFE,Adaptive Decision Feedback Equalizer)是横向均衡器的改进型式,它用判决输出信号组成一个延迟线,用一部分抽头系数加权求和后送回输出端求和,可有效地抵消码间干扰.由于退化图像可以看作是像素点之间的干扰,该方法被引入到二维退化图像盲复原中,算法中采用了Lee滤波器去除噪声,由于反馈滤波器的引入,允许前馈滤波器的系数选择上有更大的自由度,并不需要是退化模型的倒数,可以避免噪声的过分放大;另外在判决器的设计中采用了阈值分割方法确定图像的支撑域.实验证明,该算法具有很强的抗噪声干扰能力,是一种有效的盲图像复原方法. 

Blind image restoration algorithm based on adaptive decision feedback equalizer

ADFE(adaptive decision feedback equalizer ) is derived from transverse equalizer. It uses decision output signal to form a delay line, through which parts of coefficients are added together and are returned to the output. It can compensate for channels with severe intersymbol interference which is like the blurred image. The blur on image can be regarded as perturbation of the pixels, so a kind of ADFE is applied to 2D image restoration. The Lee filter is adopted to reduce noise. There are two adaptive filers in this method, so the forward filter has more flexibility to select its coefficients and not inverse blur only. As a result, the noise enhancement will not happen. Additionally, the support of the object is confirmed by threshold. The experiment proves that this new algorithm is robust under high noises, and that it′s an effective algorithm.