%0 Journal Article %1 Gurki_2015 %A Gurki, Laxman %A Jayanthi.M.G, %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Averaging Curvele Discrete Fast Fusion Image Laplacian Metrics Minimu PCA PSNR Pyramid Quality RMSE SD Transform Wavelet selection %N 4 %P 2479--2482 %R 10.17762/ijritcc2321-8169.1504152 %T Comparative Analyses of Multilevel and Geometric Image Fusion Techniques %U http://dx.doi.org/10.17762/ijritcc2321-8169.1504152 %V 3 %X Image fusion which is a technique to provide the resultant and complete information when two images are combined at a single image. It is widely used application mainly for medical and multifocus imaging. Here in this paper we have proposed combination of multilevel image fusion and geometric based fusion technique. Initially fusion is carried out by multilevel image fusion technique, which includes either wavelet transform or curvelet transform, and at second level fusion is carried out by spatial or laplacian pyramid transform. Further geometric fusion technique will be applied by using the technique of Affine transform. Finally the performance will be evaluated by different quality metrics, which are used to prove the curvelet transform result better performance than wavelet transform in multilevel fusion, and affine transform will produce more resultant than both wavelet and curvelet transform. The proposed system is very unique technique in which this application will be more useful for medical, and satellite imaging.

@article{Gurki_2015, abstract = {Image fusion which is a technique to provide the resultant and complete information when two images are combined at a single image. It is widely used application mainly for medical and multifocus imaging. Here in this paper we have proposed combination of multilevel image fusion and geometric based fusion technique. Initially fusion is carried out by multilevel image fusion technique, which includes either wavelet transform or curvelet transform, and at second level fusion is carried out by spatial or laplacian pyramid transform. Further geometric fusion technique will be applied by using the technique of Affine transform. Finally the performance will be evaluated by different quality metrics, which are used to prove the curvelet transform result better performance than wavelet transform in multilevel fusion, and affine transform will produce more resultant than both wavelet and curvelet transform. The proposed system is very unique technique in which this application will be more useful for medical, and satellite imaging.}, added-at = {2015-08-27T09:21:49.000+0200}, author = {Gurki, Laxman and Jayanthi.M.G}, biburl = {https://www.bibsonomy.org/bibtex/2f3bdb95da385bf667753eaef2df8dbe7/ijritcc}, doi = {10.17762/ijritcc2321-8169.1504152}, interhash = {bdbd8b762f1b1ff703c102d3b375a44f}, intrahash = {f3bdb95da385bf667753eaef2df8dbe7}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Averaging Curvele Discrete Fast Fusion Image Laplacian Metrics Minimu PCA PSNR Pyramid Quality RMSE SD Transform Wavelet selection}, month = {april}, number = 4, pages = {2479--2482}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-27T09:21:49.000+0200}, title = {Comparative Analyses of Multilevel and Geometric Image Fusion Techniques}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1504152}, volume = 3, year = 2015 }