RESEARCH ARTICLE Study of Image Fusion- Techniques, Method.

Image Fusion is used to retrieve important data from a set of input images and put it into a single output image to make it more informative and useful than any of the input images. It improves.

Acquiring a perfect perception and clarity in image resolution by applying prevailing fusion techniques the challenging and is one of advancing focus of research work. The multisensory fusion of images is having tremendous benefits in various sensitive applications like medical.

Ubiquitous nature of image fusion and ever expending usage of image fusion techniques becomes a potential source of crowd wisdom extraction especially in terms of analysis therefore image fusion is a significant task of current research purview. Major challenge in this area is to tame the images in terms of noise, relevance, fusion, an enhancement.

In image fusion quality is considered to be an essential determinant of the value of processing image fusion in various applications. The quality varies on different applications. To determine the quality, spatial and spectral are alleged to be two important indexes.

Image fusion is a sub area of the more general topic of data fusion.So, Satellites remote sensing image fusion has been a hot research topic of remote sensing image processing.

Information fusion is a hot research topic in remote sensing image processing. The specific objectives of image fusion are as follows: to improve the spatial resolution, to improve the classification accuracy, to enhance the capabilities of features display, to improve the geometric precision, to enhance the capability of the change detection and to replace or repair the defect of image data.

The journal publishes. Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems.

Medical image fusion encompasses a broad range of techniques from image fusion and general information fusion to address medical issues reflected through images of human body, organs, and cells. There is a growing interest and application of the imaging technologies in the areas of medical diagnostics, analysis and historical documentation.

This research attempts to develop a novel detail enhanced multi-exposure image fusion approach based on texture features, which exploits the edge preserving and intra-region smoothing property of nonlinear diffusion filters based on Partial Differential Equations (PDE).

KinectFusion: Real-Time Dense Surface Mapping and Tracking Richard A. Newcombe Imperial College London Shahram Izadi. in this line of research, iterative image alignment against dense re-. In this paper we present a detailed method with analysis of what.

FUTURE TRENDS: Although the domains where image fusion technique has find its usefulness has widened to a larger extent which has been discussed above but still certain problems are associated with its applications which by some means can be overcome in the coming future through proper research.

Image fusion implies the route toward combining the information from no less than two pictures into a single educational picture. The resulting consolidated picture contains a larger amount of information than the data pictures.. Research Paper Assurance of pollution using image fusion of differently exposed image using discrete Wavelet.