This paper mainly introduces digital image fusion, digital image fusion is to combine two or more than two sensors in the same scene acquire of many images fusion; Or is 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. This design using MATLAB software research system and the fusion algorithm simulation, we can see the based on wavelet transform image fusion method of image fusion of get more clear and has more and get the holding-based quality greatly improve, and can be used for a wide range of neighborhood.
游客2
This paper describes the digital image fusion, digital image fusion is the fusion of multiple images of two or more sensors in the same scene; or the same sensor at different times of the same scene multiple images to be comprehensive,generate a new image, image fusion techniques can effectively reduce the perceived object or environmental interpretation of uncertainty and error, to maximize the use of the source image, image enhancement, feature extraction, denoisingtarget recognition and tracking, and reconstruction. This paper studies the image fusion method based on wavelet transform of the first wavelet decomposition of the source image is decomposed into two parts of the high-frequency component and low frequency components, high-frequency domain decomposition of the image, select the average absolute value than the multi-source image neighborhood big factor as an important wavelet coefficients; in the low frequency region, the new approximation coefficient by multi-source image approximation coefficient weighted average, then the important wavelet coefficients and weighted approximation coefficients of the wavelet transform can be obtained after the fusion of images . The design study of fusion algorithm and simulation using MATLAB software, we can see the image fusion method based on wavelet transform fusion image is more clear, more discriminating and quality has been greatly improved and can be used widely Research neighborhood. 希望可以帮到你，谢谢！
游客3
This paper describes the digital image fusion, digital image fusion is the fusion of multiple images of two or more sensors in the same scene; or the same sensor at different times of the same scene multiple images to be comprehensive,generate a new image, image fusion techniques can effectively reduce the perceived object or environmental interpretation of uncertainty and error, to maximize the use of the source image, image enhancement, feature extraction, denoisingtarget recognition and tracking, and reconstruction. This paper studies the image fusion method based on wavelet transform of the first wavelet decomposition of the source image is decomposed into two parts of the high-frequency component and low frequency components, high-frequency domain decomposition of the image, select the average absolute value than the multi-source image neighborhood big factor as an important wavelet coefficients; in the low frequency region, the new approximation coefficient by multi-source image approximation coefficient weighted average, then the important wavelet coefficients and weighted approximation coefficients of the wavelet transform can be obtained after the fusion of images . The design study of fusion algorithm and simulation using MATLAB software, we can see the image fusion method based on wavelet transform fusion image is more clear, more discriminating and quality has been greatly improved and can be used widely Research neighborhood.
游客1
This paper mainly introduces digital image fusion, digital image fusion is to combine two or more than two sensors in the same scene acquire of many images fusion; Or is 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.
This design using MATLAB software research system and the fusion algorithm simulation, we can see the based on wavelet transform image fusion method of image fusion of get more clear and has more and get the holding-based quality greatly improve, and can be used for a wide range of neighborhood.
游客2
This paper describes the digital image fusion, digital image fusion is the fusion of multiple images of two or more sensors in the same scene; or the same sensor at different times of the same scene multiple images to be comprehensive,generate a new image, image fusion techniques can effectively reduce the perceived object or environmental interpretation of uncertainty and error, to maximize the use of the source image, image enhancement, feature extraction, denoisingtarget recognition and tracking, and reconstruction.
This paper studies the image fusion method based on wavelet transform of the first wavelet decomposition of the source image is decomposed into two parts of the high-frequency component and low frequency components, high-frequency domain decomposition of the image, select the average absolute value than the multi-source image neighborhood big factor as an important wavelet coefficients; in the low frequency region, the new approximation coefficient by multi-source image approximation coefficient weighted average, then the important wavelet coefficients and weighted approximation coefficients of the wavelet transform can be obtained after the fusion of images .
The design study of fusion algorithm and simulation using MATLAB software, we can see the image fusion method based on wavelet transform fusion image is more clear, more discriminating and quality has been greatly improved and can be used widely Research neighborhood.
希望可以帮到你，谢谢！
游客3
This paper describes the digital image fusion, digital image fusion is the fusion of multiple images of two or more sensors in the same scene; or the same sensor at different times of the same scene multiple images to be comprehensive,generate a new image, image fusion techniques can effectively reduce the perceived object or environmental interpretation of uncertainty and error, to maximize the use of the source image, image enhancement, feature extraction, denoisingtarget recognition and tracking, and reconstruction.
This paper studies the image fusion method based on wavelet transform of the first wavelet decomposition of the source image is decomposed into two parts of the high-frequency component and low frequency components, high-frequency domain decomposition of the image, select the average absolute value than the multi-source image neighborhood big factor as an important wavelet coefficients; in the low frequency region, the new approximation coefficient by multi-source image approximation coefficient weighted average, then the important wavelet coefficients and weighted approximation coefficients of the wavelet transform can be obtained after the fusion of images .
The design study of fusion algorithm and simulation using MATLAB software, we can see the image fusion method based on wavelet transform fusion image is more clear, more discriminating and quality has been greatly improved and can be used widely Research neighborhood.