快速自适应滤波的图像增强方法

为了快速有效的去除图像中的干扰噪声,同时避免边缘有用信息的模糊化,提高图像的层次感和清晰度,采用快速自适应滤波与模糊集相结合的方法来进行图像增强。基于FPGA的快速自适应卡尔曼滤波器能够根据图像不同区域的噪声干扰程度实时有效地滤除噪声,对于去噪后带来的边缘模糊化问题,再采用分段模糊增强来解决。实验结果表明,该方法不但能够快速有效地去除噪声,而且图像的边缘细节信息也得到了很好保留。

A method for image enhancement of fast adaptive filter

In order to remove the disturbing noise embedded in the image,and to protect the useful detail information as well as to improve the visual contrast effect,a method for image enhancement based on fuzzy-set and fast adaptive filter is recommended.The fast adaptive Kalman filter with FPGA can remove the disturbing noise effectively according to the degree of the noise distributing in different area.Later subsection fuzzy enhancement could be utilized to improve the vague image which has been noise-removed.Experiment result shows that noise could be removed effectively with the method proposed in this paper.Furthermore,the useful detailed information of the image is protected very well.