Rong Wang
ABSTRACT
In this paper, we design a super-resolution restoration system for multi-frame blurring images. There are two modules in this system, namely that motion estimation and reconstruction of super-resolution. Firstly, the motion parameters are estimated by a frequency algorithm; then a high-resolution image is reconstructed from low-resolution images based on the motion parameters by four different super-resolution reconstruction methods. The experimental results show that the restoration effect of POCS is better than the two restoration effects obtained by IBP method and the one presented in reference [9]. The bi-cubic interpolation method can get the best restoration effect based on the same motion estimation method under the condition that all low-resolution images have same blurring reason and noise feature. It can be known that bi-cubic interpolation reconstruction method is suitable than the other three methods for multi-frame images with same blurring reason and noise.
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Index Terms
- The research and implementation of super-resolution reconstruction for multi-frame blurring images
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