Super-Resolution Reconstruction Based on BM3D and Compressed Sensing.

Abstract

In the various papers published in the field of super-resolution microscopy, denoising of raw images based on Block-matching and 3D filtering (BM3D) was rarely reported. BM3D for blocks of different sizes was studied. The denoising ability is related to block sizes. The larger the block is, the better the denoising effect is. When the block size is bigger than 40, the good denoising effect can be achieved. Denoising has great influence on the super-resolution reconstruction effect and the reconstruction time. Better super-resolution reconstruction and shorter reconstruction time can be achieved after denoising. Using compressed sensing, only 20 raw images are needed for super-resolution reconstruction. The temporal resolution is less than half a second. The spatial resolution is also greatly improved.