二维随机共振参数调节的图像处理

Image Processing on Two-Dimensional Stochastic Resonance of Parameter-Tuning

随机共振可以改变图像的直方图分布,影响图像的质量,因此随机共振可用于图像数据处理.为此提出了图像的二维随机共振处理方法,它比一维随机共振可更有效降低图像中的噪声量,提高图像质量.通过相似系数和偏离系数指标对图像质量的客观评价,获得了双稳系统参数和变尺度随机共振步长对二维随机共振图像的影响规律,为实现自适应参数优化调节的随机共振图像处理奠定了可行的研究基础.

As the bistable stochastic resonance （SR） can change the image signal＇s histogram distribution and affect the quality of its output, the image signal could be processed via SR. The method of two-dimensional bistable SR was proposed and it was proved to be more effective than one-dimensional bistable SR in removing the image＇s noise and improving the image＇s quality. By evaluating the image＇s quality objectively with the use of the indicators of the similarity coefficient and the deviation coefficient, the law of the bistable system parameters and the re-scaling SR step on the two-dimensional SR image＇s quality were obtained, which laid the basis for the practical research to realize the adaptive parameter optimization of the SR image processing.