高斯模糊图像的复原处理与研究

Process and Research on Restoration of Gaussian-burred Image

分析了几种经典图像复原算法,在已知图像退化函数的情况下,对高斯模糊图像分别使用逆滤波、维纳滤波、有约束的最小二乘方滤波算法进行了复原,在这几种算法的参数选取上得到了丰富的经验数据。仿真结果表明,在高噪声环境下,维纳滤波抑制噪声的能力较强,有约束最小二乘方滤波复原方法保持细节效果最好。

Several classical image restoration algorithms are analyzed,in the case of known function of the image degradation,the Gaussian-blurred images are restored by using inverse filtering,wiener filtering,constrained least squares filtering algorithm,a wealth of empirical data on the parameter selection of the above algorithms was obtained.Matlab simulation results show that in high noise environment,the Wiener filtering has the better ability of suppressing noise,constrained least squares filtering has the best effect to remain the image details.