本文主要探讨像素级图像融合技术。
This paper is mainly to discuss pixel-level image fusion technology.
研究像素级图像融合效果的各种评价指标。
To study various evaluation parameters of fusion effect for pixel lever images.
针对像素级图像融合，给出了评价图像融合效果的标准和方法。
We also supply many kinds of quantitative evaluation criteria for the pixel level fusion.
在像素级图像融合中，多分辨率图像融合算法是应用广泛且及其重要的一类算法。
In pixel level image fusion, the multi-resolution image fusion algorithm is very important and widely utilized.
针对传统像素级图像融合方法割裂像素间联系的问题，提出一种基于区域分割的图像融合方法。
Focusing on the most traditional image fusion algorithms that split relationship among pixels, a region based image fusion scheme was proposed.
实验结果表明该算法可获得较理想的融合图像，其融合性能优于传统的基于小波变换和NSCT的像素级图像融合算法。
Experimental results show that the proposed algorithm outperforms the pixel-based methods, including the traditional wavelet-based method and NSCT-based method.
图像融合从抽象层次上可分为：像素级融合、特征级融合和决策级融合。
From the abstract level, image fusion can be divided into: pixels-level fusion, feature-level fusion and decision-level fusion.
本论文的研究就是基于像素级图像的融合。
In this thesis, our study is aimed at pixel-level image fusion.
本论文结合有关国家自然科学基金、航天技术创新基金等课题要求，针对像素级多传感器图像融合方法和应用进行了深入研究。
The researches in this thesis were partly supported by three national research grants and focused on the techniques and applications of pixel level multi-sensor image fusion.
本文研究的一个重点是像素级和特征级的图像融合算法。
One of the keystones of the paper is image fusion algorithm based on pixel level and feature level.
本文重点研究像素级多传感器图像融合算法，包括简单图像融合方法、多分辨率图像融合算法和伪彩色图像融合算法。
This thesis focused on the algorithms of the pixel-level fusion process, including simple image fusion methods, multi-resolution image fusion methods and false color image fusion methods.
本文主要基于像素级的图像融合方法开展研究。
This dissertation mainly aims at the research of multisensor image fusion algorithms in pixel level.
图像融合可以分为三个层次：像素级融合、特征级融合和决策级融合。
Image fusion can be divided into three levels, pixel level fusion, feature level fusion and the decision-making level fusion.
根据图像融合分类的不同，图像融合的算法可分为空域、变换域融合算法，或像素级、特征级和决策级融合算法。
Under different classifications, image fusion algorithms can consist of space domain and transform domain, or pixel-level, feature-level and decision-making level.
目前使用广泛的是基于像素级的图像融合方法。
The image fusion based on pixel level is widely utilized at present.
图像融合一般可分为像素级、特征级和决策级图像融合。
The image fusion can be divided into three fusion level, namely: pixel, feature and decision levels.
图像融合一般可分为像素级、特征级和决策级图像融合。
The image fusion can be divided into three fusion level, namely: pixel, feature and decision levels.
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