An improving noise eliminated difference template based on the analysis of object and background gray value also has been developed to eliminate the low frequency noise in image.
对图像中的低频噪声，基于对图像中目标与背景灰度值特点的分析，提出了改进的差分去噪声模板。
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。
The traditional low-pass filter method can restrain the high frequency part and decrease noise but may destroy image detail, and other methods also have other defects.
传统的低通滤波方法将图像的高频部分滤除，虽然能达到降低噪声的效果，但会破坏图像的细节。
Signal is in low frequency, while noise in high frequency and minutia in image is also in this area.
信号主要分布在低频区域，而噪声主要分布在高频区域，同时图像的细节也分布在高频区域。
One of VQ image coding method used in the low frequency subband-the unbalanced tree-structured VQ is presented in this paper.
文章介绍一种图像低频子带编码的矢量量化方法—非对称树结构矢量量化。
According to local gradient information, wavelet low frequency coefficient obtained from source image is selected to compose respective low frequency coefficient of the fused image.
根据局部梯度信息对源图像的小波低频系数进行选择，获取融合图像的对应低频系数。
Methods Based on wavelet transform of watermark image and host image, low-frequency ingredient of watermark is embedded in low-frequency part of host image.
方法通过对宿主图像和水印图像的小波变换，该算法把水印图像的低频成分嵌入到原始宿主图像的低频部分。
Wavelet decompose can made the energy of image get together to the low frequency, thus it can form more zero-trees and MSR as the measure of the efficiency of zero-trees coding.
小波分解形成了图像能量的聚集，这种聚集可以形成更多的零树，而MSR作为对对偶小波波形集中度的度量参数，同样也可以作为衡量零树编码效率的度量。
The circular region F-norms in low frequency band of wavelet transform is used as color feature of the image and the energy ratio of high frequency band is used to form texture descriptor.
颜色特征采用整数小波低频系数矩阵中环形区域的F -范数，纹理特征则采用高频部分的能量比值。
An adaptive threshold which is a low frequency passed image based on wavelet multiresolution filters is proposed for binarization, and the result is satisfactory.
提出通过小波多分辨力滤波将滤波以后的低通图像作为图像的自适应阈值进行二值化，获得了比较理想的效果。
Low level image processing is the base of localization. The paper discusses time domain filtering and frequency domain filtering according to the noise disturbance in the surrounding images.
低层视觉图象处理是视觉定位的基础，针对环境图象存在噪声干扰的特点，文章分别从时域和频域上分析了图象滤波的方法。
The color correction frame image is color-corrected using the generated brightness component image and low-frequency brightness component image.
色彩校正帧图像使用所产生的亮度分量图像和低频亮度分量图像而被进行色彩校正。
The enhanced gradient operator was designed to stand out the edge of image and retain the low frequency information.
此外还开发了增强型的梯度锐化算子，它既突出了边缘信息，又保留了低频信息，便于人和机器的一些后续处理。
At the same time, combined with the human visual model, our algorithm guarantees the visual impression and protects the low frequency part of image efficiently.
同时算法结合了人眼视觉模型，有效地保护了图像的低频部分和强边缘部分。从而确保了加密图像的视觉效果。
At the same time, combined with the human visual model, our algorithm guarantees the visual impression and protects the low frequency part of image efficiently.
同时算法结合了人眼视觉模型，有效地保护了图像的低频部分和强边缘部分。从而确保了加密图像的视觉效果。
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