基于8方向的数字图像去噪算法研究

由于受到成像方法等因素的影响,数字图像的边缘、细节等特征常常淹没于噪声信号中,给后续的图像特征提取、图像匹配等图像处理带来很大困难。因此,对图像进行去噪具有十分重要的意义,图像去噪也成为数字图像预处理中的关键步骤。首先介绍了中值滤波、维纳滤波、小波滤波的原理,针对中值滤波在图像去噪中存在的不足,提出新的数字图像去噪方——基于8方向的数字图像去噪方法,并通过实验仿真验证了其有效性。

Study of the digital image denoising algorithm based on 8 directions

The edge and details of digital image often submerge in noise due to the influence of such factors as imaging methods,and it may lead to difficulty in the following image process,such as feature extraction and image matching.Therefore,it is very important of image denoising,and it has become a key step of the digital image pre-processing.First of all this paper introduces the median filtering,Wiener filter,wavelet filter theory.And for shortcomings of the median filter in image denoising,proposes a new digital image denoising methods---the digital image denoising algorithm based on 8 directions,and verifies its effectiveness by the experimental simulation.