An improved HDR image synthesis algorithm
In high dynamic range (HDR) imaging, multiple photographs with different exposure times are combined into a radiance map, which reflects the radiance in real-life scenes. This involves recovering the response function of the imaging process. The technique proposed by Debevec and Malik is a well-known HDR image synthesis algorithm, but the computational complexity is relatively high, which limits the possible image size and the reconstruction quality. In this paper we present an improved joint optimization technique for estimating the camera response function (CRF) and the radiance map and a new sequential two-step optimization technique, which first estimates the CRF and then reconstructs the radiance map, resulting in better visual results and a higher SNR in remarkably less computation time.