This paper introduces a contrast based multiresolution image fusion technique.
本文给出一种基于对比度的多分辨图像融合算法。
Experimental results show that the proposed method can improve the quality of the fused images that are obtained with the conventional multiresolution image fusion approaches efficiently.
实验结果表明，该方法能有效提高常用的多分辨率图像融合方法的融合效果。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
The multiresolution image representation based on the wavelet analysis is introduced. By this way, the image resolution can be decreased in keeping with the human visual system characteristic.
本文基于小波分析提出由高分辨率图像可得到各种较低分辨率图像的多分辨方法符合人的视觉系统特性。
The multiresolution image fusion algorithm is commonly used in image fusion process and can be divided into multiresolution pyramid fusion algorithm and wavelet transformation (WT) fusion algorithm.
针对弹载视频图像在战场中的应用背景，分析了在进行弹载图像信源压缩编码时对图像分辨率及帧频的特殊处理要求。
In this method, the multiresolution technology is used so that the image can be analyzed from coarse to fine.
该方法采用了由粗到细的多分辨率技术，以及自适应多尺度与自适应阈值技术。
Multiresolution analysis is an effective approach in signal processing, especially in image processing, to decompose signals in different resolutions.
多分辨率分析是信号处理特别是图像处理的一种新的有效方法，可以在不同尺度上给出信号的信息。
The multiresolution pyramid fusion algorithm is one of the most common algorithms in the processing of image fusion.
在对图像进行融合过程中，多分辨率金字塔式方法是经常用到的技术之一。
Suppressing noise is the difficult problem in image segmentation, so we have study suppressing noise in multiresolution segmentation based on Wavelet transform.
噪声的存在是图像分割的困难所在，本文着重研究了基于小波变换的多分辨率分割中噪声抑制的问题。
In this paper, a new method of multiscale segmentation of image is introduced into framework of multiresolution segmentation of dynamic images.
将一种新颖的多尺度分割方法引入了多分辨率运动图像分割框架中，从而形成了一种新的多尺度运动图像分割方法。
And we adopted the image division and image compress techniques, carried out the method of construct multiresolution texture model.
采用影像分块和纹理压缩技术，实现了多分辨率影像纹理模型的构造方法。
The hierarchical technique is based on image multiresolution, including spatial multiresolution and temporal multiresolution.
分层递降是基于图像多分辨率，包括空间多分辨率和时间多分辨率。
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。
Because the recognition procedure has included multiresolution recognizing computation, the right rate of recognition is in sensitive to the dimension size of the image in some degree.
同时识别结果已经融合多尺度的识别运算，故目标图像大小对识别结果影响较弱。
The multiresolution structure of wavelet is used to construct the image frequency components., which has better image fidelity preservation and robustness than spatial domain based techniques.
本算法利用小波变换的多分辨率特性来进行图象的小波域分解，这样可以获得更好的图象保真度并且比在空域中的水印嵌入算法更稳健。
The wavelet transform theory is one of the effective tools mat widely apply to image processing recently, which have charicrictics of multiresolution analysis, fast working time, etc.
小波分析理论是近年来广泛使用于图像处理领域的有效工具之一，具有时域和频域的双重局部性、多尺度分析、计算的快速性等特点。
A scheme of variable block size Multiresolution Motion Estimation (VBMRME) is presented in this paper, which reduces temporal redundancy between pictures of the image sequence.
提出了一种基于小波变换的块大小可变的多分辨率运动估计方法(VBMRME)，以减少图象间的时间冗余。
The hierarchical multiresolution wavelet analysis in conjunction with the contextual information of the image extracted from GMRF results in local features of the image.
在图像的多分辨率小波分析的基础上 ，采用高斯 -马尔可夫随机场模型来描述图像的局部特征 。
The last each image Mosaic area in the 3-dimension model is fused by using of wavelet multiresolution to promote the scene image Mosaic precision.
在此基础上，利用多分辨分析对三维模型中的各图像拼接区域进行了多尺度融合，提高场景图像拼接的精度。
The last each image Mosaic area in the 3-dimension model is fused by using of wavelet multiresolution to promote the scene image Mosaic precision.
在此基础上，利用多分辨分析对三维模型中的各图像拼接区域进行了多尺度融合，提高场景图像拼接的精度。
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