The Image Denoising is one of the important technologies in the filed of digital image processing, Traditional wavelet denoising methods, which are based on soft-threshold and hard-threshold have the certain malpractice.
图像消噪是图像处理的重要环节之一，传统的小波软阈值和硬阈值去噪方法存在一定的弊端。
参考来源 - 基于贝叶斯估计的图像去噪技术的研究—《电脑知识与技术·学术交流》—2008年第24期—龙源期刊网The fifth part is a research of application of filter banks in the image denoising. A new denoising method with optimized threshold is introduced, whose efficiency has been certified by some comparing examples.
第五部分，我们研究了子带滤波器组在图像消噪中的应用，并且在完全重构格型滤波器组的基础上，提出了一种利用优化阈值进行图像消噪的新方法，对比实验的结果表明该方法可以得到良好的消噪效果。
参考来源 - 子带滤波器组的设计与应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
图像消噪是图像分割和识别的必要预处理。
It is necessary for the image denoising to preprocess for its segmentation and recognition.
图像的消噪实验表明，小波变换用于图像消噪效果优于均值滤波，与中值滤波去噪相比无明显差别。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
这种方法可以在尽量保留信号奇异性穴如边缘熏纹理等雪相关信息情况下熏使得图像平滑熏噪声消除，是红外图像消噪的一种新方法。
This method can repress noise in reserving the related information, such as edge and vein etc. It is a new method of infrared image noise repression.
应用推荐