mlsanityData to 7 Oct 2026

HistoHDR-Net: Histogram Equalization for Single LDR to HDR Image Translation

arXiv 2402.06692 ↗First posted 8 Feb 2024eess.IV cs.AI cs.CVcited by 3

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Abstract (arXiv)

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 recover the fine details (e.g., color, contrast, saturation, and brightness) of HDR images via a fusion-based approach utilizing histogram-equalized LDR images along with self-attention guidance. Our experiments demonstrate the efficacy of the proposed approach over the state-of-art methods.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 22 of its 48 references that are in the map. First posted on arXiv 8 Feb 2024.

Builds on

22 of 48 references.

References · 22

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10 more
  1. 2021Deep Learning for HDR Imaging: State-of-the-Art and Future Trendscited by 45
  2. 2017Learning High Dynamic Range from Outdoor Panoramascited by 34
  3. 2023RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Imagecited by 31
  4. 2021A New Journey from SDRTV to HDRTVcited by 30
  5. 2019FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Networkcited by 22
  6. 2022Single-Image HDR Reconstruction by Multi-Exposure Generationcited by 20
  7. 2023Single Image LDR to HDR Conversion using Conditional Diffusioncited by 9
  8. 2023Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenescited by 8
  9. 2022LHDR: HDR Reconstruction for Legacy Content using a Lightweight DNNcited by 6
  10. 2023ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creationcited by 4

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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.