# Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array

arXiv: https://arxiv.org/abs/2011.10232 · HTML: https://mlsanity.com/paper/2011.10232/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Nov 2020.

## Built on by (most cited first, 3 of 3)

- [Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot](https://mlsanity.com/paper/2111.07281/) (2021)
- [Deep Snapshot HDR Reconstruction Based on the Polarization Camera](https://mlsanity.com/paper/2105.05824/) (2021)
- [Deep Polarimetric HDR Reconstruction](https://mlsanity.com/paper/2203.14190/) (2022)

## Abstract (arXiv)

In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure color filter array (ME-CFA), which consists of a mosaic pattern of RGB filters with different exposure levels. To effectively learn the HDR image reconstruction network, we introduce the idea of luminance normalization that simultaneously enables effective loss computation and input data normalization by considering relative local contrasts in the "normalized-by-luminance" HDR domain. This idea makes it possible to equally handle the errors in both bright and dark areas regardless of absolute luminance levels, which significantly improves the visual image quality in a tone-mapped domain. Experimental results using two public HDR image datasets demonstrate that our framework outperforms other snapshot methods and produces high-quality HDR images with fewer visual artifacts.