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Home / programming language / Online Matlab Projects / Instant Color Matching for Mobile Panorama Imaging
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Instant Color Matching for Mobile Panorama Imaging

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SKU: PROJ3546 Categories: 2015 Projects, Digital Image Processing Projects, Final Year Projects, Online Matlab Projects Tags: academic projects, Android project 2013-2014, Android project Abstract, Android project list, btech projects, dotnet project 2013-2014, dotnet project Abstract, dotnet project list, elysium technologies abstract, elysium technologies chennai, elysium technologies coimbatore, elysium technologies company, elysium technologies courses, elysium technologies erode, elysium technologies inpant traning, elysium technologies internship, elysium technologies jobs, elysium technologies madurai, elysium technologies mou, elysium technologies pondychery, elysium technologies projectlist, elysium technologies projects, elysium technologies ramnad, elysium technologies salem, elysium technologies software, elysium technologies tirunelveli, elysium technologies trichy, Final Year Projects, java projects 2013-2014, java projects Abstract, madurai software company, matlab project 2013-2014, matlab project Abstract, matlab project list, mtech projects, phd research work, Php project 2013-2014, Php project Abstract, Php project list, Power Electronic project 2013-2014, Power Electronic project Abstract, Power Electronic project list, project center Bangalore, project center chennai, project center coimbatore, project center Erode, project center Hyderabad, project center Kollam, project center madurai, project center Pandicherry, project center ramnad, project center Salem, project center Tiruneveli, project center trichy, research center, Students Projects, Vlsi project 2013-2014, Vlsi project Abstract, Vlsi project list
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Instant Color Matching for Mobile Panorama Imaging

Abstract—Instant Color Matching for Mobile Panorama Imaging. This paper presents an efficient color matching approach to address the photometric inconsistency problem that commonly exists in panoramic images. Color correction, as the first step, < Final Year Projects > is to adjust the color and luminance of source images so that the differences between adjacent images can be minimized. Color blending is used after the color correction to further smooth the color transition between adjacent images. With the first image being selected as a basis image, the proposed approach can start the color matching and stitching process once the second image is captured. The proposed approach is simple and is very suitable for panoramic imaging on mobile devices. Experimental results demonstrate that the color transitions between neighboring images are smooth without visible seams and the color tone of the final image is kept as close as the basis image.

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