Image fusion is the process of integration of two or more source images into a single fused image. The resultant fused image is used to retain the important features of the source images. Color image fusion is the process of integrating one or more color images to enhance clarity of the image. The application of color image fusion simplifies object identification and helps in better cognition. ...

Image fusion is the method of combining two or more images into a single image to obtain more appropriate information. The resulting fused image will be more informative than any of the input images. In this paper Correlation based approach for fusion of images gathered by different wireless sensors on the basis of Pearson’s correlation theory has been described. We present a comparative study ...

Image fusion combines information from multiple images of the same scene to get a composite image that is more suitable for human visual perception or further image-processing tasks. In this paper, we compare various multi-resolution decomposition algorithms, especially the latest developed image decomposition methods, such as curvelet and contourlet, for image fusion. The investigations includ...

In recent years image fusion plays a vital role in the image processing area. Fused images would help in doing many applications in image processing like segmentation, image enhancement and many. In order to improve the effect of fusion visible and infrared image images of the same scene, this paper presents an image fusion method based on lifting wavelet domain. Firstly, the source images are ...

Various and different methods can be used to produce high-resolution multispectral images from high-resolution panchromatic image (PAN) and low-resolution multispectral images (MS), mostly on the pixel level. However, the jury is still out on the benefits of a fused image compared to its original images. There is also a lack of measures for assessing the objective quality of the spatial resolut...

Based on image contents, the better to simulate the process pattern of human eyes vision, an image fusion method that emphasizing edge preserving is proposed. Through wavelet transform, an improved regional cross entropy fusion rule is used for the low-frequency component which reflects approximate contents, the fusion method for incorporation of the maximum morphology edge measuring and weight...

We give an explicit description, up to gauge equivalence, of group-theoretical quasi-Hopf algebras. We use this description to compute the Frobenius-Schur indicators for grouptheoretical fusion categories.

* Corresponding author. ** This work was supported in part by the Research Department of the Government of French Polynesia. Abstract The accuracy of forest classification is generally improved by multisensor data fusion since tree species identification benefits from complementary information. However, hypothesizing multisource fusion can also deteriorate accuracy when a non-relevant source is...

In this paper, we will investigate techniques for the combination of image fusion and segment based image analysis. We describe a color preserving iconic fusion with subsequent segmentation and classification, a ‘cookie cutter’ approach for the integration of high resolution RGB and low resolution hyperspectral image data and a decision based fusion technique, that combine high resolution panch...

In this paper, the application of the fuzzy transforms of the zero degree (F -transform) and of the first degree (F -transform) to the image registration is demonstrated. The main idea is to use only one technique (F-transform generally) to solve various tasks of the image registration. The F -transform is used for an extraction of feature points in edge detection step. The correspondence betwe...