Classical filters can restrain it with the loss of image details.
经典的图像滤波器在抑制噪声的同时会丢失图像中的细节。
Image filter is expected to both reduce the noise and keep the image details.
对图像滤波的要求是，既能滤除图像中的噪声又能保持图像的细节。
In space domain, we can more effectively constrain noise while it blurs image details.
在空间域滤波，尽管能够有效地限制噪声，但是同时模糊了图像细节。
Traditional methods can filter noise, but at the same time they make the image details blurred.
传统的去噪方法在去噪的同时使得图像的细节变得模糊。
To obtain more image details, a remote sensing image fusion algorithm based on edge features was proposed.
为了获得更多的图像细节信息，提出了一种基于边缘特征的遥感图像融合算法。
It shows that the contourlet methods strongly suppress speckle, while preserving image details and sharpness.
实验结果表明，该新方法在保留细节和锐化图像的同时，能强有力地抑制斑点噪声。
This method introduces a series of neighborhood models which reflect local edge property to describe image details.
该方法利用一系列反映局部边界特征的邻域模型来描还图像的细节。
However, due to the use of smooth prior image model in MAP, the reconstructed edges and some image details are blurred.
但由于目前在MAP算法中普遍采用的是平滑型图像先验模型，导致重构出来的图像边界不明锐，一些细节不清晰。
The first coding bits have more information and reflect the image Outlines, the last coding bits reflect the image details.
先编码的位具有较大的信息量，反映了图像的轮廓，后编码的位反映了图像的细节。
Experiments show that the algorithm can remove mixed impulse and Gaussian noise efficiently while protecting image details.
实验结果说明算法不仅能有效地滤除脉冲与高斯混合噪声，而且可以较好地保护图像细节。
Experiment result shows that this algorithm avoids over-enhancement of noise while enhancing image details with good visual effect.
实验结果表明，该算法可以有效地增强图像的细节信息，减小噪声的增强幅度，改善图像的视觉效果。
The algorithm ADAPTS to both the image and the noise, and balance the tradeoff between noise removal and preserving of image details.
该算法对图像和噪声具有自适应能力，在噪声去除和图像细节保留方面达到一个平衡。
Noise has serious effects on quality of successive image processing. Classical filters can restrain it with the loss of image details.
噪声对后续图像处理的质量有严重影响，经典的去噪方法在抑制噪声的同时会丢失图像中的细节。
Experiments show that the proposed algorithm has obvious advantage over traditional ones, especially in color difference and image details.
实验表明该算法获得的图像匹配结果较传统算法在颜色相似度和细节保持方面均有明显的提高。
Starting from the enhanced ability of fractional differential to image details, the authors analyzed the mechanism of fractional differential.
从分数阶微分对图像细微细节的增强能力出发，对分数阶微分的机理进行分析。
In image denoising, traditional low-pass methods can suppress high frequency noise, at the same time they can destroy image details unsatisfactory.
在图像滤波方面，传统的低通滤波方法在滤除图像高频成分的同时，破坏了图像的某些细节。
Performance results show that in this paper fuzzy sets have been specifically designed to successfully preserve the quality of image details and textures.
实验结果表明，文中设计的模糊因子能有效的保证边缘图像细节和结构的质量。
It's easiest to access an element on a Web page directly, using an id attribute. Add the following IDs to your Web page, in the section for image details.
利用id属性直接在Web页面上存取元素再简单不过了。
According to the characteristics of SAN image details and speckle distribution, this peper puts forward a speckle-reduction algorithm based on region division.
文中根据SAR图像的纹理特征和相干斑噪声的统计特征，提出了一种基于区域分集的相干斑抑制算法。
Image interpolation is an important technique of image processing. The blur and jaggy of image details or edges are inevitable during conventional image interpolation.
图像插值是图像处理的一项重要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。
The two methods not only enhance image details but also fit in with human vision, distinct of image is improved and noise over-enhancing can be voided in flatness area.
这些方法既增强了图像的细节特征又符合人眼的视觉特性，提高了图像的清晰度，有效地避免了平坦区域噪声的过增强问题。
Experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image with the image fusion method.
实验结果表明，该图像融合方法在保留TM多光谱图像光谱分辨率的同时，通过融合SPOT全色图像提高了空间分辨率，丰富了图像细节信息。
The experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image in our image fusion method.
实验结果表明，该图像融合方法在保留TM多光谱图像光谱分辨率的同时，通过融合SPOT全色图像提高了空间分辨率，丰富了图像细节信息。
The clear image details have been extracted by using the method to adaptively decompose a digital image into a finite number of sub-images. That is very important for digital image processing.
通过把原始图像自适应分解成有限数量的子图像，图像的细节能清晰地被分解出来，这在数字图像处理中有很重要的意义。
The basic objective is to effectively remove stripe noises while preserving the original image details as much as possible so that the original radiation of various objects could be obtained better.
基本目标就是要在消除条带噪声的同时，最大限度地保持图像的纹理细节信息，较好地恢复图像的原始辐射信息。
This paper presents a new adaptive multilevel median filter based on direction information measure to solve the contradiction between noise attenuation and image details-preserving (edge-preserving).
针对图像滤噪中滤除噪声和保护细节(边缘)的矛盾，本文提出一种新的基于方向信息测度的自适应多级中值滤波器。
However, by presenting so much information in one visual image, the core message is lost in the details.
不过，通过在一个可视图像中提供这么多信息，会让核心信息被细节所淹没。
However, by presenting so much information in one visual image, the core message is lost in the details.
不过，通过在一个可视图像中提供这么多信息，会让核心信息被细节所淹没。
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