A multiple exposure fusion to boost the dynamic vary of an image is proposed. The construction of high dynamic vary images (HDRIs) is performed by combining multiple pictures taken with totally different exposures and estimating the irradiance price for every pixel. This is a common method for HDRI acquisition. During this process, displacements of the photographs caused by object movements typically yield motion blur and ghosting artifacts. To address the problem, this paper presents an economical and accurate multiple exposure fusion technique for the HDRI acquisition. Our methodology simultaneously estimates displacements and occlusion and saturation regions by using maximum a posteriori estimation and constructs motion-blur-free HDRIs. We tend to additionally propose a new weighting theme for the multiple image fusion. We have a tendency to demonstrate that our HDRI acquisition algorithm is accurate, even for pictures with giant motion.
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