Abstract: The primary motivation for developing the blind algorithm is due to the observation that most existing Super-Resolution (SR) methods assume the point spread function are known in advance, which may not be true in many real-world applications. In view of this, this paper presented a novel blind SR algorithm to enhance image resolution without knowledge of the point spread function. The authors formulated the SR problem into a new framework of joint interpolation-restoration scheme. The main contribution of this method was the development of multi-channel blind restoration to estimate the unknown point spread function, and its integration into the SR scheme to render High-Resolution (HR) images. The blurs were identified iteratively with the utilization of inter-frame blur similarity. Experimental results show that the new algorithm is effective in performing blind SR image reconstruction.

Key words: image restoration, point spread function, super-resolution, interpolation

摘要： 常规的超分辨复原方法需要预知退化图像的点扩展函数，但实际应用中许多退化图像的点扩展函数是未知的，因此提出一种新的超分辨率图像盲复原算法，在点扩展函数未知或不确知的情况下对图像进行恢复。该联合插值—恢复的超分辨率图像盲复原方法，利用多信道盲复原估计未知的点扩展函数，迭代运用帧间相似性确定模糊特性，同时结合超分辨率方法得到高分辨率图像。实验结果表明，该算法能有效地实现超分辨率图像的盲复原。

关键词: 图像复原, 点扩展函数, 超分辨率, 插值