Paper Details

Image fusion now a days trending very much. Image fusion is the combination of two or more source imageswhich vary in resolution, instrument modality, or image capture technique into a single composite representation. Thus,the source images are complementary in many ways, with no one input image being an adequate data representation ofthe scene. Therefore, the goal of an image fusion algorithm is to integrate the redundant and complementary informationobtained from the source images in order to form a new image which provides a better description of the scene forhuman or machine perception. Medical image is a core step of medical diagnosis and has been diffusely applied inmodern medical domain. The technology of modern medical image is more and more mature which could be presentimages in different modes and features. Image fusion has become crucial part of medical diagnosis. Medical imagefusion is the technology that could compound two mutual images into one according to certain rules to achieve clearvisual effect. By observing medical fusion image, doctor could easily confirm the position of illness. CT scans providehigh resolution information on bone structure while MRI scans provide detailed information on tissue types within thebody. According to the mutual features of CT scan image and MRI medical image, both the images are fused into one.Therefore, an improved understanding of a patient’s condition can be achieved through the use of different imagingmodalities. In this paper we are focusing on discrete wavelength technique(DWT) for fusing CT and MRI images

Himani Trivedi, Hetal Chauhan, “Trending Technique : Study of DWT in Multimodal Fusion”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 6, pp. 159-163, June 2016.