Inter-level and intra-level deconvolution based image deblurring algorithm for wide field microscopy

Abstract

This paper proposes an inter-level and intra-level deconvolution based image deblurring algorithm (ILILD) for microscopic images. Pyramid structure is used, and inter-level deconvolution is applied to estimate latent image from coarse level to fine level. The inter-level algorithm is based on total variation regularized Richardson-Lucy scheme, which can estimate latent image with artifacts suppressed. After inter-level deconvolution, intra-level deconvolution is applied. In each pyramid level of image, the residual deconvolution is done as the intra-level deconvolution scheme to recover image edges and details furtherly. Experiments show that ILILD algorithm can estimate latent images in less time and the results have better peak signal to noise ratio, higher image entropies and few artifacts.