An absolute phase recovery method of single-frame composite images based on compressed sensing
Image phase recovery is a processing technology,which is used to recover phase information from the image,but the absolute phase recovery of single-frame composite image is susceptible to the decay non-linear influence of sinusoidal modulated light source,leading to the poor performance of image phase recovery.Therefore,the absolute phase recovery method of single-frame composite images based on compression perception is designed.The optical imaging model of single frame composite image is con-structed,the image focus positioning and phase recovery registration are progressive compensation,and the linear reconstruction is used to obtain accurate compressible absolute phase recovery signal,and realize the absolute phase recovery of single frame com-posite image.The experimental results show that the peak signal-to-noise ratio,structural similarity,information entropy are high,and the root mean square error is low,which proves that the design method has good recovery effect,reliability and certain applica-tion value,and can be a reference for subsequent dynamic image identifications and 3D measurement.