NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
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Abstract (arXiv)
This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022. This manuscript focuses on the competition set-up, datasets, the proposed methods and their results. The challenge aims at estimating an HDR image from multiple respective low dynamic range (LDR) observations, which might suffer from under- or over-exposed regions and different sources of noise. The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i.e. solutions can not exceed a given number of operations). In Track 2, participants are asked to minimize the complexity of their solutions while imposing a constraint on fidelity scores (i.e. solutions are required to obtain a higher fidelity score than the prescribed baseline). Both tracks use the same data and metrics: Fidelity is measured by means of PSNR with respect to a ground-truth HDR image (computed both directly and with a canonical tonemapping operation), while complexity metrics include the number of Multiply-Accumulate (MAC) operations and runtime (in seconds).
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 29 of its 56 references that are in the map. First posted on arXiv 25 May 2022.
Builds on
29 of 56 references.
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17 more
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Built on by
Citing papers per year: 2022: 4; 2023: 5; 2024: 0; 2025: 1.
10 papers.
- 2022NTIRE 2022 Challenge on Perceptual Image Quality Assessmentcited by 41
- 2023Alignment-free HDR Deghosting with Semantics Consistent Transformercited by 32
- 2022Perceptual Image Enhancement for Smartphone Real-Time Applicationscited by 18
- 2023Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Modelscited by 11
- 2022LHDR: HDR Reconstruction for Legacy Content using a Lightweight DNNcited by 6
- 2023Towards Efficient SDRTV-to-HDRTV by Learning from Image Formationcited by 4
- 2022DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imagingcited by 3
- 2023CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imagingcited by 3
- 2025Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Burstscited by 2
- 2023High Dynamic Range Imaging via Visual Attention Modulescited by 0
- 2025Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts11 Oct 2025
- 2023Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation8 Sep 2023
- 2023High Dynamic Range Imaging via Visual Attention Modules27 Jul 2023
- 2023Alignment-free HDR Deghosting with Semantics Consistent Transformer29 May 2023
- 2023Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models23 Mar 2023
- 2023CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imaging10 Feb 2023
- 2022LHDR: HDR Reconstruction for Legacy Content using a Lightweight DNN21 Nov 2022
- 2022Perceptual Image Enhancement for Smartphone Real-Time Applications24 Oct 2022
- 2022NTIRE 2022 Challenge on Perceptual Image Quality Assessment23 Jun 2022
- 2022DRHDR: A Dual branch Residual Network for Multi-Bracket High Dynamic Range Imaging8 Jun 2022