Laplacian based Image Mosaicing
Sadhana P. Bangarashetti1, Pavan N. Kunchur2
1Sadhana P.Bangarashetti*, Prof, Deprt of ISE,BEC,Bagalkot
2Pavan N.Kunchur, Asst.Professor, Dept of CSE,GIT,Belagav
Manuscript received on March 18, 2020. | Revised Manuscript received on April 02, 2020. | Manuscript published on April 30, 2020. | PP: 791-794 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7644049420/2020©BEIESP | DOI: 10.35940/ijeat.D7644.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we propose to stitch multiple images using the technique of homography estimation. Firstly, Sorting the images,then computing pairwise homography between the images and then by performing image blending the objective is achieved.Then a novel decision fusion framework based on spanning tree and exif data to obtain the order of images is proposed. After the order of images are obtained, to estimate the pairwise projective homographies between the images is done. Then we warp the images according to the computed homography. The warped images later undergo feathering and laplacian blending in order to obtain seamless stitching.
Keywords: Homography, Novel Decision,Laplacian Blending.