Deep Autoencoder Multi-Exposure HDR Imaging

Abstract

Recently, in the era of photography, due to capturing images with limited dynamic range by cameras, High Dynamic Range (HDR) imaging has engrossed people’s attention because HDR pictures present more details and better luminance than images with Low Dynamic Range (LDR). Moreover, produced HDR images by a single LDR image cannot reconstruct details appropriately, and therefore, in this research, a deep learning method is proposed to generate an HDR picture by multiple LDR pictures with different exposures. The experiments and results illustrate that the proposed algorithm performs better than the other methods in quantitative and visual comparison.