RestoreNet-Plus: Image restoration via deep learning in optical synthetic aperture imaging system

The blur is a problem impacting the image quality of optical synthetic aperture imaging (OSAI) system and requiring image restoration techniques for deconvolution. However, most traditional image deconvolution algorithms are non-blind methods and also highly susceptible to the unknown noise. The turbulence perturbation and the co-phase error are both factors that may affect the recovery performance. As for the image restoration under noises and turbulence correction error, a further optimized network named as RestoreNet-Plus is designed.