Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail
  Preservation Network for Multi-Exposure HDR Imaging
Huafeng Li Zhenmei Yang Yafei Zhang Dapeng Tao Zhengtao Yu
The reconstruction of high dynamic range (HDR) images from multi-exposure low
dynamic range (LDR) images in dynamic scenes presents significant challenges,
especially in preserving and restoring information in oversaturated regions and
avoiding ghosting artifacts. While current methods often struggle to address
these challenges, our work aims to bridge this gap by developing a
multi-exposure HDR image reconstruction network for dynamic scenes,
complemented by single-frame HDR image reconstruction. This network, comprising
single-frame HDR reconstruction with enhanced stop image (SHDR-ESI) and
SHDR-ESI-assisted multi-exposure HDR reconstruction (SHDRA-MHDR), effectively
leverages the ghost-free characteristic of single-frame HDR reconstruction and
the detail-enhancing capability of ESI in oversaturated areas. Specifically,
SHDR-ESI innovatively integrates single-frame HDR reconstruction with the
utilization of ESI. This integration not only optimizes the single image HDR
reconstruction process but also effectively guides the synthesis of
multi-exposure HDR images in SHDR-AMHDR. In this method, the single-frame HDR
reconstruction is specifically applied to reduce potential ghosting effects in
multiexposure HDR synthesis, while the use of ESI images assists in enhancing
the detail information in the HDR synthesis process. Technically, SHDR-ESI
incorporates a detail enhancement mechanism, which includes a
self-representation module and a mutual-representation module, designed to
aggregate crucial information from both reference image and ESI. To fully
leverage the complementary information from non-reference images, a feature
interaction fusion module is integrated within SHDRA-MHDR. Additionally, a
ghost suppression module, guided by the ghost-free results of SHDR-ESI, is
employed to suppress the ghosting artifacts.