摘要：Blind image restoration is a kind method of image processing by estimating both the original image and the point spread function from degraded images, when there is unknown or not completely know the prior knowledge of the original image and point spread function of imaging. However, blind image restoration is a complex and intensive computing process, and increasing processing speed has been a hot research topic. In this paper, blind image restoration using Self-Deconvolution Data Reconstruction Algorithm (SeDDaRA) is realized by Model-Based Design Methodology. The simulation results show that the proposed algorithm is not only simple in structure and easy to implement, and can improve the processing speed with good scalability.
