The Estimation of Blur Based on Image Information
Feng Duan, Yanning Zhang · 2009
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.