We show that our method can restore high quality images exceeding the image quality of previous fully calibrated (i.e. non-blind) approaches, while being 5 orders of magnitude faster than the state of the art.
Experiments show that the proposed method can restore sharp edges and fine details and achieve good result on noise suppressing.
Results suggest that the repair method can restore the stiffness and ductility capacity of the columns to levels that can meet the needs of a temporary repair and allow emergency use after an earthquake; 4.
The depth-based inpainting method can restore the blank areas with color of background pixels, but induce severe blurring artifacts (see Figures 6l, 7h,l, and 8h) and some color bleeding defects (see Figures 7h,l and 8h).
Method M1 can restore the images, but the quality of restored images are not so good.
While ecological engineering methods can successfully restore some ecosystem attributes, restoration is generally incomplete, mainly due to lack of target species propagule dispersal, unsuitable abiotic conditions and negative biotic interactions, especially after intensive cultivation.
Using this method, his advanced prosthetics can restore fine motor control down to the fingers.
Recently, the iterative compressed-sensing optimized non-uniform (ICON) reconstruction (Deng et al. 2016) method demonstrated that CS can restore missing information in noisy cryoET data of both cells and isolated macromolecules, thereby minimizing missing wedge artifacts and yielding measurably better reconstructions than WBP.
Comparing Figs. 5 (a/c) with (b/d), one can easily find that the phase image of red blood cells calculated via the phase extraction method based on the FFT has low quality and only provides an outline of circle but the detailed structures are absent, while the method based on the HT can restore the real concave shape of red blood cells in detail, especially the round shape and thin center.
Our results show that symmetrization in both modes improves accuracy and efficiency, and can restore the classical order of the Gauss methods for stiff linear problems.
