Fast Blind Deblurring of QR Code Images Based on Adaptive Scale Control

Abstract With the development of 5G technology, short delay requirements commercialization and large amounts data change our lifestyle day-to-day. In this background, paper proposes a fast blind deblurring algorithm for QR code images, which mainly achieves effect adaptive scale control by introducing an evaluation mechanism. Its main purpose is to solve out-of-focus caused lens shake, inaccurate focus, optical noise speeding up latent image estimation in process multi-scale division iterative deblurring. The optimizes productivity under guidance collaborative computing, based on characteristics codes, such as features gradient strength. step, Tenengrad method used evaluate quality, value compared with empirical obtained from experimental data. Combining error correction capability, recognizable codes will be output. addition, we introduced parameter study relationship between recognition rate restoration time. Theoretical analysis results show that proposed has high recovery efficiency well effect, can effectively applied industrial applications.