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.
该阶段研究图像的消噪和倾斜度校正。
This phase research image de_noise and image inclination rectification.
将此方法应用于动态触觉传感器触觉图像的消噪，取得了显著的性能改进。
This method was applied to DE -noise the output image of a PVDF dynamic tactile sensor system. And the experimental results prove the remarkable performance improvement.
文章介绍了一种用于图像边缘提取和编码的新算法，并提出一种链码文件的有效组织方法，同时对图像处理过程中遇到的消噪问题进行讨论。
This paper introduces a new algorithm for image edge extraction and coding, an efficient method for code file organization is presented, meanwhile, the noise suppression problem is discussed.
以其他波段的几何信息辅助噪声污染波段重构，经过相应的小波重构滤波器滤波，获得该波段图像的重建以进行消噪。
Assisted by other bands high frequency geometric information, reconstruct noise band image with wavelet reconstruction filter to de-noise noise band image.
水下激光图像中夹杂着严重的散斑噪声，受其影响，要识别水下激光目标，就要对图像进行有效的消噪，然后进行目标分割。
To recognize underwater target, segmentation must be performed efficiently because there is a lot of speckle noise in laser underwater images.
分析了激光成像雷达系统中所成的散斑像的乘法模型 ，并在此基础上利用一基于小波的同态滤波器对被散斑污染的图像进行了消噪处理。
In this paper, multiplication model of speckle image in imaging lidar is analyzed, and then suppression processing for the speckle image is finished by homomorphic wavelet filter.
针对脉冲噪声的抑制问题，提出了一种利用图像中未被污染的信号点向外自适应生长来消噪的快速自适应算法。
This paper proposed a swift adaptive algorithm to restore images from impulse noise, by expanding the real signal pixels so as to smooth the noisy ones.
对笔迹图像的预处理过程包括纸张背景颜色去除，狄度化、消噪和二值化，归一化等步骤。
The paper is divided into some steps such as pre-processing to remove background color, gray, de-noising, binarization and normalized.
实验结果表明，该算法在大大降低时间复杂度的同时，形成单像素连接的指纹二值图像，达到了增强、消噪、平滑、二值化、细化的目的，处理效果较好。
The experiment results showed that this algorithm formed single pixel edge of the fingerprint and achieved the effects of edge enhancement, noise cancellation, smooth, binarization and edge thinning …
实验结果表明，该算法在大大降低时间复杂度的同时，形成单像素连接的指纹二值图像，达到了增强、消噪、平滑、二值化、细化的目的，处理效果较好。
The experiment results showed that this algorithm formed single pixel edge of the fingerprint and achieved the effects of edge enhancement, noise cancellation, smooth, binarization and edge thinning …
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