Improved performance of Image Fusion by MSVD


Authors : Aakanksha Bahri ,Savita Shiwani.

Volume/Issue : Volume 1 - 2016, Issue 6 - September

Google Scholar : https://goo.gl/hOlCtd

Scribd : https://goo.gl/Vt7kiY

Image Fusion is a method, in which two relevant Image get combine and generate a new Image. The generated image has excellent clarity as compared to the previous input image. Image Fusion Technique is improving the performance of the images and increase the application of Image Fusion. In the Base paper, they present Wavelet Transform for Fusion the Two-Dimensional Multiresolution 2-D image. The applications of the Image fusion is using various fields like multi – Focus Images, CT, Multi-Sensor Satellite image and MR of the Human Brain. In this Paper , we proposed the MSVD (Multi-resolution Singular Value Decomposition) methodology for improve the performance of the image fusion . For show the improvement of the image fusion , we show the results in the form of PSNR(Peak Signal to Noise Ratio) , MSE(Mean Square Error ) , CR(Cross Correlation ) . For improve the performance of image fusion , PSNR and CR will be increase and MSE will decrease .

Keywords : Image Fusion, Wavelet Transform, Fused Images, Wavelet based Fusion, Multi-Resolution, Multi-sensor image fusion, multi-resolution SVD, Image Fusion Performance Evaluation Metrics.

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