Abstract: High Dynamic Range Image Acquisition (HDRI) is generally based on multi exposure principle for Capturing dynamic range of irradiance which basically works by merging some photographs shot with multiple exposures. Therefore here the Conventional methods which are based on the Performance of HDR construction have been explained That is by Combining multiple images taken with different exposures And Estimating irradiance value for each pixel but few problems have occurred during this which resulted as displacements of images by object movements, Yielding motion blur and Ghosting artifacts as well. So in this paper we have Proposed a method in which Multiple exposure fusion technique is used for Estimating displacements, occlusion and saturated regions though the Use of MAP(Maximum A Posteriori) estimation have also be done and even Constructing the motion blur free HDRIs which resulted in Application of new weighting scheme for multiple image fusion.
Keywords: Image fusion, HDRI, matlab, MAP
Title: Multiple exposure fusion for high dynamic range image acquisition
Author: Neha Goyal, Gagan Jindal
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print) ISSN 2348-120X (online)
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