An Illumination And Proficient Photography Image Fusion Based On Gradient Exposure

International Journal of Computer Trends and Technology (IJCTT)          
© - October Issue 2013 by IJCTT Journal
Volume-4 Issue-10                           
Year of Publication : 2013
Authors :N. UmaDevi , V.Punithavathi


N. UmaDevi , V.Punithavathi"An Illumination And Proficient Photography Image Fusion Based On Gradient Exposure"International Journal of Computer Trends and Technology (IJCTT),V4(10):3585-3590 October Issue 2013 .ISSN Published by Seventh Sense Research Group.

Abstract:-  Digital Imaging System have been used in various image processing domains such as satellite and in commercial domain like Voter ID. In the proposed system the series of images are captured by digital camera which has bracketed features (Long Exposure and Short Exposure) and by using a standard dynamic range device (SDR) and synthesizing an image suitable for SDR displays. The SDR device traces scene details like contrasts and gradient direction in a series of SDR images with different coverage levels. The depth of field is first calculated, which helps to find the distance between the nearest and farthest objects in a scene which appears sharp in an images. The scene gradient measure, luminance measure is carried out in order to measure the gradient and increase the contrast of image and last step is integrating the results to get the fusion result. The fusion algorithm techniques are used for fusion of images based on contrast and gradient level. This is done in a multi-resolution of brightness variation in the sequence. Experimental results prove that the proposed scheme does not require any human interaction or parameter tuning for different scenes.


References -
[1] A. Levin, R. Fergus, F. Durand, and W. T. Freeman, ?Image And Depth From A Conventional Camera With A Coded Aperture, in Proceeding. ACM SIGGRAPH, 2007.
[2] K. Aizawa, K. Kodama, and A. Kubota, ?Producing Object-Based Special Effects By Fusing Multiple Differently Focused Images, IEEE Transaction. on Circuits and Systems for Video Technology, Vol. 10, No. 2, Pp.323–330, Mar. 2000.
[3] J. Ogden, E. Adelson, J. R. Bergen, and P. Burt, ?Pyramid-Based Computer Graphics, RCA Engineer, Vol. 30,Nno. 5, Pp. 4–15, 1985.
[4] S. W. Hasinoff, F. Durand, and W. T. Freeman, ?Noise-Optimal Capture For High Dynamic Range Photography, in Proceedings Computer Vision and Pattern Recognition, 2010.
[5] Y. Y. Schechner and N. Kiryati, ?Depth From Defocus Vs. Stereo: How Different Really Are They? International Journal of Computer Vision, Vol. 39, No.2, Pp. 141–162, Sep. 2000.
[6] F. Durand and J. Dorsey, ?Fast Bilateral Filtering For The Display Of High Dynamic Range Images, ACM Transaction Graph., Vol. 21, No. 3,Pp. 257–266, Jul. 2002.
[7] R. Fattal, M. Agrawala, and S. Rusinkiewicz, ?Multiscale Shape And Detail Enhancement From Multi-Light Image Collections, ACM Transaction Graph.,Vol. 26, No. 3,Pp. 51, 2007.
[8] L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, “Image Deblurring With Blurred/Noisy Image Pairs, IACM Transaction Graph., Vol. 26, No. 3, Pp. 1–10, 2007.
[9] L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, ?Progressive Inter-Scale And Intra-Scale Non-Blind Image Deconvolution, in Proceeding ACM SIGGRAPH Paper, 2008, Pp. 1–10.
[10] F. Sroubek and J. Flusser, ?Multichannel Blind Iterative Image Restoration, IEEE Trans. Image Processes., Vol. 12, No. 9, Pp. 1094–1106, Sep.2003.
[11] F. Sroubek and J. Flusser, ?Multichannel Blind Deconvolution Of Spatially Misaligned Images, IEEE Transaction Image Processing, Vol. 14, No. 7, Pp. 874– 883, Jul. 2005.

Keywords :— Fusion, Gradient, Multi-resolution brightness