Underwater blurred image restoration based on parameter estimation
Jing Zhang · Journal of Jilin University · 2013
This paper analyzes various image restoration methods for different image degradation models and discusses how to apply deconvolution to match suitable blur model first.Then,on these bases,a new method with denoising preprocessing is proposed to realize underwater image restoration without prior information.The proposed method considers the Radon transform and Fourier transform to estimate the fuzzy angle and distance in the Point Spread Function(PSF),which is simpler and more precise than other estimation methods.Simulation results show that this denoising preprocessing could inhibit the ill-posed problem of image restoration process,thus the proposed method can greatly improve the image quality and definition.