摘要
在分析图像复原的Hopfield神经网络恢复算法的基础上,提出了一种基于连续函数的全并行自反馈改进算法,利用该算法对匀速直线运动模糊图像进行复原,并与Paik方法得到的复原图像进行比较,发现该方法得到的复原图像信噪比提高显著,且恢复过程加快。
By analyzing Paik's Hopfield neural network image restoration algorithms,this article proposes a new image restoration algorithm of using the parallel self-feedback neural network based on a continuous function,and it compares the application of the algorithm to the image blurred by linear motion with the result from Paik's algorithm.The experimentation shows that this method can restore the original image more effectively,remarkably increase the SNR,and make the restoration process faster.
出处
《计算机与现代化》
2004年第7期62-64,共3页
Computer and Modernization
