Paper Title
Real Time High Dynamic Range Image using Multiple Exposure Fusion

Abstract
A multiple exposure fusion to enhance the dynamic range of an image is proposed. The construction of high dynamic range images (HDRIs) is performed by combining multiple images taken with different exposures and estimating the irradiance value for each pixel. This is a common process for HDRI acquisition. During this process, displacements of the images caused by object movements often yield motion blur and ghosting artifacts. To address the problem, this paper presents an efficient and accurate multiple exposure fusion technique for the HDRI acquisition. Our method simultaneously estimates displacements and occlusion and saturation regions by using maximum a posterior estimation and constructs motion-blur-free HDRIs. Discrete wavelet transform is applied in order to decompose an input image into different sub bands. Then the high frequency sub bands as well as the input image are interpolated. Then all these sub band are combined to generate a new high resolution image by using inverse DWT (IDWT).Then to achieve a fused image. Keywords- Dynamic Range Images (HDRI), Markov Random Field, Maximum A Posteriori, Discrete Wavelet Transform, Multiple Exposure.