摘要: Super Resolution (SR) is a technique for improving the resolution of digital images. Super Resolution Image Reconstruction (SRR) is one of the most common SR techniques. However, in addition to SRR, there are several other techniq... 展开 Super Resolution (SR) is a technique for improving the resolution of digital images. Super Resolution Image Reconstruction (SRR) is one of the most common SR techniques. However, in addition to SRR, there are several other techniques to improve image resolution. A technique called Blind Deconvolution (BD) has been used to process out of focus images in the field of astronomy. When BD was first described, in the 1970s, it was not considered to be a viable candidate to be used for SR. However, the process of improving resolution is very similar to that of focusing images. SRR and BD both use iterations to create a high quality image from low resolution images. Compared with SRR, BD comes with some disadvantages. For example, algorithms sometimes cause divergences or limit cycles which means that the high resolution image cannot be obtained. In this study, we describe a method of fixing the issues that prevent BD from achieving a high-resolution image using simulation to increase its stability. The output from the improved algorithm for BD is compared with the current SR technique, SRR. We show that the BD technique is in fact superior to SRR. 收起