基于希尔伯特黄变换的图像去噪方法

An Image Noise Removal Method Based on Hilbert Huang Transform

图像在获取或传输过程中不可避免地存在一定程度的噪声干扰,噪声恶化了图像质量,给图像分割、分析判断等工作带来了困难;为此,提出了一种基于希尔伯特黄变换的图像去噪方法,采用二维经验模式分解对遥感图像进行多尺度分解,分解出各个本征模式函数,对本征模式函数进行二维希尔伯特变换,保留并加强图像细节信息、削弱噪声,最终实现图像的去噪,并利用客观评价指标评价去噪效果;实验结果表明,该去噪方法能够有效地去除图像噪声,并且对含多种噪声的图像具有一定的适用性。

There is inevitable noise interference in the process of image acquisition or transmission. Noise degrades image quality and brings difficulties in image segmentation, analysis and so on. The paper presents a method of imagedenoising based on HilbertHuang transform, uses the bidimensional empirical mode decomposition to decompose the remote sensing image in multiscale and acquires the intrinsic mode functions, transforms the intrinsic mode functions by hi dimensional Hilbert transform to retain and enhance image detail in formation and weaken the noise. The method achieves the imagedenoising result, and the denoising effect can be objectively evaluated. The experimental results show the denoising method can effectively remove the noise of the image, and has certain applicability in containing a va riety of noise images.