在分析凸集投影算法(POCS)的基础上,详细阐述了凸集投影算法的原理和步骤。为了提高超分辨图像质量效果,文中提出一种改进的凸集投影方法。使用最小二乘约束盲解卷积算法来对经过双线性内插的图像进行处理,把处理后的图像作为超分辨重建的迭代初始值。由于超分辨重建技术没有原始清晰图像,所以文中只进行了平均梯度和信息熵的计算并且比较。通过实验证明,文中提出的改进的凸集投影算法相比传统的凸集投影算法重建效果有了显著的提高。

In this paper, based on projection onto convent sets (POCS) principle, expatiate the elements and the approach of the projection onto convent sets principle. A modified method of POCS has been put forward, for raise the quality of the reconstructed image. It will be the super-resolution reconstruction iterative elementary value that the bilinear interpolation image of be deal with the arithmetic of the iterative blind deconvolution in frequency. Because of no elementary image, we just have average grads and information entropy the results to be compared. Such the experiment result shows that this algorithm which is in this paper could significantly improve the quality of the reconstructed image compare with traditional POCS algorithm.