International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 174 - Issue 6 |
Published: Sep 2017 |
Authors: M. Sirisha, G. Prasanna Kumar, P. S. N. Murthy |
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M. Sirisha, G. Prasanna Kumar, P. S. N. Murthy . Restoration of Color Images using Image Integration based on SURF Features. International Journal of Computer Applications. 174, 6 (Sep 2017), 31-34. DOI=10.5120/ijca2017915419
@article{ 10.5120/ijca2017915419, author = { M. Sirisha,G. Prasanna Kumar,P. S. N. Murthy }, title = { Restoration of Color Images using Image Integration based on SURF Features }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 174 }, number = { 6 }, pages = { 31-34 }, doi = { 10.5120/ijca2017915419 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A M. Sirisha %A G. Prasanna Kumar %A P. S. N. Murthy %T Restoration of Color Images using Image Integration based on SURF Features%T %J International Journal of Computer Applications %V 174 %N 6 %P 31-34 %R 10.5120/ijca2017915419 %I Foundation of Computer Science (FCS), NY, USA
A flash and long-exposure image pair captured in a dark environment is blurred and noisy. To remove this blur or noise from the image pair there are so many deblurring techniques existing. In this paper implemented a new technique for Restoration of Color Images is introduced. In previous methods, image integration is performed only for well-aligned images, which is a difficult process. This problem can be solved by transferring the color of the flash image using a small fraction of the corresponding pixels in the long-exposure image. Proposed method integrates the color of the long-exposure image with the detail of the flash image using Speeded-Up Robust Features (SURF). This method does not require perfect alignment between the images than the previous methods. Proposed method generates integrated image which has a high contrast than the previous method which is based on SIFT.