Image restoration method of motion blur two-dimensional code based on improved Wiener filter algorithm
Aiming at the problem that two-dimensional code is prone to motion blur in industrial product detec-tion,resulting in increased recognition difficulty,a motion blur two-dimensional code image restoration method based on improved Wiener filter is designed.In the traditional Wiener filter image restoration process,due to the influence of the regular term K value,resulting in the difference in the restoration effect,thispaper combines the genetic algo-rithm,through the adaptive optimization method to achieve the estimation of K value,the experimental results show that the improved algorithm is about 4 dB higher than the traditional algorithm restored image peak signal-to-noise ra-tio(PSNR),the method can effectively restore the motion blur two-dimensional code image,improve the efficiency of two-dimensional code recognition.
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