水下模糊图像参数估计复原方法

针对不同的图像退化模型,分析了图像模糊的不同类型以及通过解卷积复原图像的各类方法,讨论了对应于不同模糊类型所适用的解卷积方法。在对水下图像复原前先采取去噪预处理较好地抑制了复原过程的病态问题,再利用拉东变换和傅里叶变换估计点扩展函数中模糊角度和模糊距离,实现了在缺少先验信息前提下的水下图像的复原,且相比于其他估计方法更加简便准确。实验结果表明:该方法能较为有效地复原水下模糊图像。

Underwater blurred image restoration based on parameter estimation

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.