单通道散焦模糊置换图像的盲分离

Blind separation of single-channel permuted defocus blurred image

针对一类散焦模糊置换图像,提出一种基于参数估计的单通道盲分离新方法。该方法基于散焦模糊置换图像的频域特性估计出散焦模糊半径,采用Lucy-Richardson(L-R)算法对置换图像进行盲复原,并通过定义像素梯度绝对值和来对复原产生的振铃效应进行评价,根据评价结果进行分类估计出置换混合矩阵,从而完成置换源图像子块的分离。实验结果表明,针对经历不同置换操作的散焦模糊置换图像,该方法均能获得较好的分离效果,同时,对高斯噪声和有损JPEG压缩都具有较好的鲁棒性。

A novel single-channel blind separation algorithm for permuted defocus blurred image is proposed based on parameter estimation in this paper. The defocus blur radius is estimated by the characteristics of permuted image in the frequency domain, and then the permuted image is restored by performing the Lucy-Richardson （L-R） blind restoration method. The ringing effect of restored image is measured by defining the sum of absolute pixel gradient, and the permutation mixing matrixes can be accurately estimated by classifying the ringing effect of each sub-block, thereby separating the source images. Simulation results show that the proposed algorithm is able to achieve better separation efficiency for the permuted defocus blurred image with various permutation operations and a better performance on the robustness against Ganssian noise and lossy JPEG compression.