Assessment of Efficient Deghosting Technique in High Dynamic Range Imaging

Abstract

High dynamic range (HDR) imaging innovation is widening up progressively prevalent as of late. A standard and most basic way to deal with acquire a HDRI is the numerous exposures combination technique that comprises of joining various images of a similar scene caught with various introduction times. This practice facilitates splendidly just on static scenes. In any case, if there is a movement in the scene amid the succession procurement, the resultant HDR image contains ghosting ancient rarities because of moving items in the caught scene. High dynamic range imaging approaches are relied upon to extend the dynamic range of pictures that can't be caught well by utilizing customary camera sensors. To create a HDR Image we have a technique of taking the stack of images with varying presentation level and then combining these images to get the final image having more details. However, we may get ghosting artifacts by slight dislocation of images brought by camera. A little work, over the past decade has been devoted to abstractly or objectively evaluating HDR de-ghosting results. In this paper, we have made comparative analysis upon the techniques employed in the prior researches. On the basis of performance evaluation we will conclude best approach and future work.