Super-Resolution Reconstruction of Depth Image Based on Kriging Interpolation

The super-resolution of depth images is a research hotspot. In this study, the classical Kriging algorithm applied to spatial interpolation images, together with fractional-order differential method for edge recognition, realise reconstruction images. resulting model improves performance by harnessing superior characteristics recognition and effectively solving blurring problem in Experimental results show that, compared algorithms, based on greatly improved terms visual effects peak signal-to-noise ratio image. particular, differentiation solves image at edges Inspection point clouds shows that output proposed has obvious fractal characteristics.