摘要
数字图像在获取、传输及存储的过程中不可避免地会受到各种噪声的污染,这不仅影响图像的视觉效果,还会给对图像的进一步处理和分析带来不利影响。因此,对图像进行去噪处理就显得尤为重要。针对小波软、硬阈值去噪方法的缺点,提出一种改进的小波阈值去噪方法,该方法的去噪效果要优于软硬、阈值去噪方法和其他一些改进算法。
In the process of acquisition, transmission and storage, digital image inevitably will be polluted by a variety of noise, this not only influ-ence the visual effect of the image, but also will bring trouble in further processing and analysis of the image.Therefore, it is very important to remove the noise of the image.For soft and hard threshold wavelet denoising method exist some shortcomings, proposes an improved wavelet threshold denoising method, the denoising effect of this method is superior to the hard and soft threshold method and some other improved algorithms.
出处
《现代计算机》
2016年第5期72-75,83,共5页
Modern Computer
关键词
图像噪声
软硬阈值
小波变换
阈值去噪
Image Noise
Soft and Hard Threshold
Wavelet Transform
Threshold Denoising
