Feb. 13, 2024, 5:43 a.m. | Hrishav Bakul Barua Ganesh Krishnasamy KokSheik Wong Abhinav Dhall Kalin Stefanov

cs.LG updates on arXiv.org arxiv.org

High Dynamic Range (HDR) imaging aims to replicate the high visual quality and clarity of real-world scenes. Due to the high costs associated with HDR imaging, the literature offers various data-driven methods for HDR image reconstruction from Low Dynamic Range (LDR) counterparts. A common limitation of these approaches is missing details in regions of the reconstructed HDR images, which are over- or under-exposed in the input LDR images. To this end, we propose a simple and effective method, HistoHDR-Net, to …

costs cs.ai cs.cv cs.gr cs.lg cs.mm data data-driven dynamic eess.iv equalization image imaging literature low quality replicate translation visual world

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