Hybrid of Contourlet and Curvelet Transformation with Fuzzy logic for Image Fusion
نویسندگان
چکیده
Image fusion has wide range of application in satellite images, general photography, medical images etc. Image fusion is the process in which we combine two or more images or some features of images to form a single image which is free from distortion and does not loses its information. Images which are taken from different angles sometimes needs to be fused together to form a single image which has all the detail information to create accurate description of the image. Its application lie for medical imaging, satellite images, general photography etc. Nowadays, medical image fusion plays a vital role for diagnosis. There are number of issues related to image fusion that needs to resolve. None of single method can work as generalized for image fusion. In the current paper we are going to hybrid two methods: contourlet transformation and curvelet transformation for better fused images. Fuzzy logic is being implemented to provide better coefficient extraction. KeywordImage Fusion, Contourlet transformation, Curvelet transformation, fuzzy logic.
منابع مشابه
An Efficient Approach with Contourlet and Curvelet Transformation for Image Fusion
Image fusion is the process in which we combine two or more images or some features of images to form a single image which is free from distortion and does not loses its information. Images which are taken from different angles sometimes needs to be fused together to form a single image which has all the detail information to create accurate description of the image. Its application lie for med...
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