The Estimation of Blur Based on Image Information

Blind image deconvolution is required in many applications of microscopy imaging, remote sensing, and astronomical imaging. The primary difficulty with blind image restoration is insufficient information. We propose a novel algorithm in the estimation of blur based on convex optimization theory and image information. How to extract the information from image is discussed in this paper. Finally, the non-blind image restoration is introduced and good performance is observed in the experiments.