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1、A Image Fusion Algorithm Based on Pseudo Abstract: The pseudo-color processing for target identification and tracking is very meaningful Experimental results show that the pseudo-color image fusion is a very effective methods. This paper presents a false color image fusion based on the new method.Fu
2、sion using wavelet transform grayscale images, find the gray fused image and the difference between the original image, respectively, as the image of l, , components are color fusion image, and then after the color transformation, the final false color fused image. The results showed that the color
3、fusion image colors more vivid, more in line with human visual characteristics. U20er20A1136ini20AraAorDe20kAop作文/A Image Fusion Algorithm Based on Pseudo_Key words: image fusion; color transfer; wavelet transform; image processingI. IntroductionIn recent years, the advent of new types of image sens
4、ors that human beings can be more comprehensive and more accurate understanding of the physical world. Use of these image sensors, one can in all weather conditions, observations from a different angle characteristics of the same thing, get the same thing under different modes of multiple sensor ima
5、ges. How these different modes of sensor fusion into a composite image, the composite image contains all the various pieces of useful information for the original image is image fusion technology to study the contents. Multi-sensor image fusion technology in the civilian (such as remote sensing, com
6、plex manufacturing systems, robotics, traffic monitoring and control, process monitoring, industrial inspection, medical diagnosis and microsurgery, etc.) and military applications (such as battlefield surveillance, analysis of complex scenes , target detection, target identification, precision-guid
7、ed multi-mode composite, etc.) have great prospects and potential applications.Because of the marked improvement in image performance, pseudo-color image fusion method more and more people concern and attention. MIT Lincoln Laboratory of the U.S., Lockheed Martin, the Netherlands TNO Human Resources
8、 Institute and the British military research institutions regard the relevant false color image fusion technology as an important research topic. As technology advances and matures, more and more pseudo-color fusion technology will be widely used in battlefield reconnaissance, surveillance, and othe
9、r fields.The pseudo color image fusion method: Toet method using a pseudo-color thermal imaging and TV image fusion image 1 The basic idea is to use color to enhance image details;Waxman and other use of a spatial / color gamut of nuclear, the temperature of the registration image and video image co
10、nvolution, and then through the R, G, B channel color display, in color night vision 2.Gao such as the establishment of a real-time multi-spectral false color image fusion system 3, using three narrow-band filter images collected by three optical channels, through registration and fusion of real-tim
11、e display on the monitor output.YMC pseudo-color image synthesis is also based on RGB color space of an image fusion method, which is the three pieces of image data, respectively, as yellow, magenta, green channel data, and then calculate the RGB pseudo-color display channel data 4. Zhao, etc. based
12、 on the fused image in the grayscale fused image will be gray, two of the original image with different gray fused image in different colors to RGB channel, with a different color that these differences in the details, the formation of a color fused image, the site than the original color fusion ima
13、ge fusion image and grayscale images should contain more information 5. As the results of the integration of several ways a more serious color distortion.This paper presents a new color transform based image fusion method.The experimental results show that using this method are more realistic color
14、fusion image more in line with human visual characteristics. II.An image of the wavelet decomposition anddirection of contrastImage after wavelet decomposition, the image is obtained in the horizontal, vertical, diagonal direction of the high frequency information and the corresponding resolution of
15、 the low frequency components.As the orthogonal wavelet bases, image wavelet decomposition process does not produce redundant data, so you can easily analyze the signal in various frequency bands in the frequency domain characteristics.Two-dimensional fast algorithm based on wavelet Mallat 6, j-time
16、 image after wavelet decomposition generates three high frequency components and a low frequency, where the superscript are horizontal, vertical, diagonal direction of the high frequency components, the subscript m and n correspond to the image rows and columns, the subscript j that wavelet decomposition scale.Mallat wavelet decomposition formula is as follows:Since the orthogonality of
