【摘要】 针对多源退化图像的恢复问题,提出小波域投影寻踪网络,并用于图像恢复。这种新方法结合了投影寻踪理论和小波收缩技术的优点,通过分别处理小波系数和尺度系数,较好地解决了对于多源退化因子的先验知识知之甚少情况下图像恢复这一难题。采用投影寻踪网络对模糊源进行模拟,估计退化因子;同时,用小波收缩技术中的软阈值方法来对噪声源进行抑噪处理。实验的结果与传统的逆滤波方法及投影寻踪网络方法相应的结果比较,说明这种新方法是一种有效的多源退化图像的恢复方法。更多还原

【Abstract】 The Wavelet-Domain Projection Pursuit Learning Network(WDPPLN) is proposed for resolving the difficult task to restore image, which is blurred by multisource degraded factors. The new approach combines the advantages of both the projection pursuit and the wavelet shrinkage technique. By separately processing wavelet coefficients and scale coefficients, the WDPPLN resolves the problem of restoring image very well, when little is known about the prior knowledge for multisource degraded factors. The WDPPLN estimates the degraded factor, which blurred image, by using Projection Pursuit Learning Network (PPLN). Also, it suppresses the noise with the soft-threshold of the wavelet shrinkage technique. The results are compared with that of the traditional methods and the PPLN method in visual effect and objective evaluation criterion (SNR). Experiment results show that it is an effective method for restoring multisource degraded image.更多还原