Multi-frame image super-resolution reconstruction based on sparse representation and POCS

作者：Su Xiaoqing; Li Shutao^*

来源：International Journal of Digital Content Technology and Its Applications, 2011, 5(8): 127-135.

DOI：10.4156/jdcta.vol5.issue8.15

• Dictionary method
• High resolution
• High resolution image
• Higher resolution images
• Image super-resolution
• Input image
• Intermediate image
• Learning dictionary
• Low resolution images
• Multi-frame
• POCS
• Projection onto convex sets
• Sparse representation
• Sparse signal representation
• Super resolution
• Super-resolution image reconstruction
• Two stage

Super-resolution image reconstruction algorithms produce a high-resolution image from one or a set of low-resolution images of the desired scene. In this paper, we present a novel two-stage super-resolution (SR) algorithm combined sparse signal representation with the projection onto convex sets (POCS). In the first stage, inspired by recent results in sparse signal representation, we get a high-resolution intermediate image based on learning dictionary method for each low-resolution image of an input image sequence. In the second stage, by fusing these high-resolution intermediate images, a higher resolution image is generated based on POCS method. Experiment results show the effectiveness of our method and the improved performance over other SR algorithms.

• 出版日期2011