求英语高手将我的摘要翻译成英文 不要软件翻译的 求准确 急急急急急！！！

Question

本文主要介绍了数字图像融合，数字图像融合是将两个或两个以上的传感器在同一场景获得的多幅图像或者同一传感器在不同时刻获得的同一场景的多幅图像加以综合，生成一个新的图像的过程，图像融合技术可以有效的减少被感知对象或环境解释中存在的不确定性和误差，最大限度的利用各源图像的信息，对图像进行增强、特征提取、去噪、目标识别与跟踪及三维重构。
本文主要研究了一种基于小波变换的图像融合方法，首先利用小波分解将源图像分解成高频分量和低频分量两部分，在图像分解的高频域内，选择多源图像邻域平均绝对值较大的系数作为重要小波系数；在低频域内，新的逼近系数通过对多源图像的逼近系数进行加权平均得到，然后利用重要小波系数和加权逼近系数进行小波反变换，即可得到融合之后的图像。
实验结果表明，基于小波变换的图像数据融合方法得到的融合图像更加的清晰，更具有识别力且质量得到了较大的提高，，并可用于广泛的研究邻域。
本文主要介绍了数字图像融合，数字图像融合是将两个或两个以上的传感器在同一场景获得的多幅图像进行融合；或者是同一传感器在不同时刻获得的同一场景的多幅图像加以综合，生成一个新的图像的过程，图像融合技术可以有效的减少被感知对象或环境解释中存在的不确定性和误差，最大限度的利用各源图像的信息，对图像进行增强、特征提取、去噪、目标识别与跟踪及三维重构。
本文主要研究了一种基于小波变换的图像融合方法，首先利用小波分解将源图像分解成高频分量和低频分量两部分，在图像分解的高频域内，选择多源图像邻域平均绝对值较大的系数作为重要小波系数；在低频域内，新的逼近系数通过对多源图像的逼近系数进行加权平均得到，然后利用重要小波系数和加权逼近系数进行小波反变换，即可得到融合之后的图像。
使用MATLAB软件对本设计研究的融合算法进行实现和仿真，可看出基于小波变换的图像融合方法得到的融合图像更加的清晰，更具有识别力且质量得到了较大的提高，并可用于广泛的研究邻域。

Answer 1

This paper mainly introduces digital image fusion, digital image fusion is to combine two or more than two sensors in the same scene get many images or the same sensor at different times of the same scene for many images of the synthetical, create a new image of the process, the image fusion technology can effectively reduce by cognitive object or environmental interpretation of the uncertainty of error, the maximum use of the source image information, the image enhancement, feature extraction, denoising and target identification and tracking and 3 d reconstruction.
This paper mainly studied based on wavelet transform is a kind of image fusion method, first using wavelet decomposition will source image into high frequency components and low frequency component two parts, the image of high frequency domain decomposition, the source image choice neighborhood average absolute value larger coefficient as important wavelet coefficient; In the low frequency domain, new approximate coefficient of the source images through approximation coefficients of the weighted average get, and by using the wavelet coefficient and important weighted approximation coefficients of wavelet inverse transform, can get confluence of after image.
The experimental results show that based on the wavelet transform of the image data fusion method of image fusion of get more clear and has more and get the holding-based quality greatly improve, and can be used in a wide range of neighborhood.

Digital watermark is at present the international academic research front popular direction, and frequency watermark technology transform domain is digital watermarking research hot spot, in this kind of technology, image watermarking has been in the corresponding before mathematical transformation (such as the DFT/DCT/DWT). And then in the transform domain use the add watermarking information, the inverse transform can get after containing the watermark image watermark.
This design for a DCT domain based on the watermarking algorithm is proposed, the digital image watermarking algorithm is proposed to choose two gray image threshold as a watermark, according to the watermark image binary sex choose different wavelet coefficients, and will carrier image 8 x 8 block, will digital watermarking gray value varies implanted directly into the gray image carrier of the DCT transform domain, realize the embedded watermark. Then the inverse transform will watermark image space domain is back to get the watermark image.
Use this kind of MATLAB software watermark algorithm experiment, the experimental results show that this algorithm has better performance and realize the watermark is not visible, and has good robustness.

Answer 2

This article main describes the digital image fusion, it can be fuse of two or more sensors in the same scene or the same sensor at different times of the multiple images to be integrated to generate a new image process, image fusion techniques can effectively reduce the existing of uncertainty and error in the perceived object or interpretation of the environment, maximum use of the source image information to enhance, feature extraction, denoising, target recognition and tracking and 3D reconstruction.
This article main researches the image fusion method based on microwave transform, first use of microwave decomposition of the source image and decomposed into two parts of the high-frequency component and low frequency component, in the high-frequency scope decomposition of the image, select the close to average absolute value than the multi-source image as an important microwave coefficients; in the low frequency scope, the new approximation coefficient by multi-source image approximation coefficient weighted mean, then the important microwave coefficients and weighted approximation coefficients of the microwave transform can be obtained after the fusion of images .
The experimental results show that the integration of image data fusion method based on microwave transform image more clear, more discriminating and the quality has been greatly improved, and it can be used in an extensive field.追问

麻烦再给翻译一个吧 谢谢

追答

Digital watermarking is a forward hot topic of research in the international academic community, the frequency transform domain watermarking technology is focus research of digital watermarking , in this type of technology, it has been carried out corresponding mathematical transformation before image added watermarks (such as DFT/ DCT / DWT). And then added watermark information in the transform domain, used inverse transform to obtain the watermark image that contained watermark information.
This design is based on DCT domain watermarking algorithm, the digital image watermarking algorithm to select binary gray level images as the watermark information, according to this selection choose the different embedded coefficient, and divided vector images into 8 × 8 sub-block, the gray level value of the digital watermark directly into the grey level vector images DCT transform domain, achieved the watermark embedded. And then adopt inverse transform changed back to the spatial domain and obtained the watermark images.
Using MATLAB software to test such watermarking algorithm, experimental results show that this algorithm has better performance, the watermark is invisible and has a better robustness.

Answer 3

楼主我有预感你杯具了。文章还是自己翻译吧。

Answer 4

This article mainly introduces the digital image fusion, image fusion is two or more than two sensors in the same scene obtained from multiple images or with a sensor in the different time to obtain multiple images of the same scene to be integrated, generates a new image process, image fusion technique can be effective reduce the perceived object or environment in the presence of uncertainty and error, the maximum use of the information of the original images, image enhancement, denoising, feature extraction, target recognition and tracking and 3D reconstruction.

In this paper a image fusion method based on wavelet transform, using wavelet decomposition of the source image is decomposed into high frequency and low frequency components of the two part, in the frequency domain image decomposition, selection of multisource image neighborhood average larger absolute value coefficient as the important wavelet coefficients; in the low frequency domain, a new approximation coefficient based on multi-source image approximation coefficients weighted average, and then use the important wavelet coefficients and the weighted approximation coefficients of wavelet transform, fused image can be obtained by.

The experimental results show that, image data fusion based on wavelet transform fusion image obtained is more clear, more discerning and quality has been greatly improved, and can be used in a wide range of research, the neighborhood.