An Efficient Synthesizing and Tone-Mapping System for High Dynamic Range Images

Abstract

Current research works on high dynamic range (HDR) images put emphasis on the perception quality of the reconstructed image, where an enhanced low dynamic range (LDR) image is directly output as an HDR image from a sequence of LDR images. These works are useful to improve the limited ability of display devices. However, the dynamic range is not actually expanded and the physical properties of real scenes are unavailable in these works. For example, the radiance map of the surrounding scene cannot be recovered in such a direct way, which is an important issue in many industrial and aerospace applications. This paper proposes an efficient synthesizing and displaying system for HDR images. It focus on providing solutions of the following open problems: 1) LDR image registration under camera shaking and object motion; 2) HDR image reconstruction for physical property analysis of real scenes; 3) Structure preservation when compressing dynamic range of HDR image for LDR display devices.