mlsanityData to 14 Oct 2026

Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

arXiv 1904.11176 ↗First posted 25 Apr 2019eess.IV cs.CVcited by 39

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Abstract (arXiv)

Recent modern displays are now able to render high dynamic range (HDR), high resolution (HR) videos of up to 8K UHD (Ultra High Definition). Consequently, UHD HDR broadcasting and streaming have emerged as high quality premium services. However, due to the lack of original UHD HDR video content, appropriate conversion technologies are urgently needed to transform the legacy low resolution (LR) standard dynamic range (SDR) videos into UHD HDR versions. In this paper, we propose a joint super-resolution (SR) and inverse tone-mapping (ITM) framework, called Deep SR-ITM, which learns the direct mapping from LR SDR video to their HR HDR version. Joint SR and ITM is an intricate task, where high frequency details must be restored for SR, jointly with the local contrast, for ITM. Our network is able to restore fine details by decomposing the input image and focusing on the separate base (low frequency) and detail (high frequency) layers. Moreover, the proposed modulation blocks apply location-variant operations to enhance local contrast. The Deep SR-ITM shows good subjective quality with increased contrast and details, outperforming the previous joint SR-ITM method.

Key facts. Cited by 39 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Apr 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 8; 2022: 11; 2023: 9; 2024: 4; 2025: 3; 2026: 4.

39 papers.

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  1. 2021HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantizationcited by 58
  2. 2021HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Datasetcited by 45
  3. 2021Deep Learning for HDR Imaging: State-of-the-Art and Future Trendscited by 45
  4. 2023RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Imagecited by 32
  5. 2021A New Journey from SDRTV to HDRTVcited by 30
  6. 2022Learning to Adapt to Lightcited by 21
  7. 2022GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wildcited by 21
  8. 2021Luminance Attentive Networks for HDR Image and Panorama Reconstructioncited by 18
  9. 2022High Dynamic Range and Super-Resolution from Raw Image Burstscited by 18
  10. 2023Accidental Light Probescited by 13
  11. 2021How to cheat with metrics in single-image HDR reconstructioncited by 11
  12. 2022UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Networkcited by 11
27 more
  1. 2023Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Modelscited by 11
  2. 2022Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellitescited by 8
  3. 2025AIM 2025 challenge on Inverse Tone Mapping Report: Methods and Resultscited by 8
  4. 2023HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessmentcited by 7
  5. 2022Distilling Style from Image Pairs for Global Forward and Inverse Tone Mappingcited by 5
  6. 2022Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approachcited by 4
  7. 2023Generalized Lightness Adaptation with Channel Selective Normalizationcited by 4
  8. 2023Towards Efficient SDRTV-to-HDRTV by Learning from Image Formationcited by 4
  9. 2024GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstructioncited by 4
  10. 2021Ada-VSR: Adaptive Video Super-Resolution with Meta-Learningcited by 3
  11. 2022Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmarkcited by 3
  12. 2022DeepHS-HDRVideo: Deep High Speed High Dynamic Range Video Reconstructioncited by 3
  13. 2024HDR Imaging for Dynamic Scenes with Eventscited by 3
  14. 2022Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?cited by 2
  15. 2022Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mappingcited by 2
  16. 2023Training Neural Networks on RAW and HDR Images for Restoration Taskscited by 2
  17. 2024Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversioncited by 2
  18. 2024Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolutioncited by 1
  19. 2021Super-Resolving Compressed Video in Coding Chaincited by 0
  20. 2023Lightweight Improved Residual Network for Efficient Inverse Tone Mappingcited by 0
  21. 2023Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Displaycited by 0
  22. 2025Bit-depth color recovery via off-the-shelf super-resolution modelscited by 0
  23. 2025RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learningcited by 0
  24. 2026Wavelet-Domain Masked Image Modeling for Color-Consistent HDR Video Reconstructioncited by 0
  25. 2026LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformerscited by 0
  26. 2026Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstructioncited by 0
  27. 2026Ultra-High-Definition Restoration Transformers with Correlation Matching Transformationcited by 0