【摘要】 提出了利用图像的Hilbert扫描曲线和小波变换实现图像去噪的方法。将含噪声图像生成为Hilbert扫描矩阵,再将Hilbert扫描矩阵转换为一维向量,对一维向量进行小波分解,提取低频分量并转换为二维矩阵。然后,对二维矩阵进行Hilbert反扫描,完成图像去噪处理。仿真实验结果表明该方法是有效的。更多还原

【Abstract】 It presents a image depressing noise method based on Hilbert curve in image scanning and wavelet analysis. It uses the noising image to generate Hilbert curve based on matrix,transforms the matrix into one-dimensional vector,detects the wavelet low frequency components and transforms them into two-dimensional matrix. This matrix produces Hilbert inverse scanning and the noises of image are removed. Experiment results show that the method can efficiently remove the noises of image.更多还原