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Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) input image is challenging due to missing details in under-/over-exposed regions caused by quantization and saturation of camera sensors. In contrast to…

Image and Video Processing · Electrical Eng. & Systems 2020-04-03 Yu-Lun Liu , Wei-Sheng Lai , Yu-Sheng Chen , Yi-Lung Kao , Ming-Hsuan Yang , Yung-Yu Chuang , Jia-Bin Huang

Deep learning is commonly used to reconstruct HDR images from LDR images. LDR stack-based methods are used for single-image HDR reconstruction, generating an HDR image from a deep learning-generated LDR stack. However, current methods…

Image and Video Processing · Electrical Eng. & Systems 2023-09-08 Su-Kai Chen , Hung-Lin Yen , Yu-Lun Liu , Min-Hung Chen , Hou-Ning Hu , Wen-Hsiao Peng , Yen-Yu Lin

In this paper, we propose a novel deep neural network model that reconstructs a high dynamic range (HDR) image from a single low dynamic range (LDR) image. The proposed model is based on a convolutional neural network composed of dilated…

Computer Vision and Pattern Recognition · Computer Science 2020-06-30 Siyeong Lee , Gwon Hwan An , Suk-Ju Kang

High dynamic range (HDR) novel view synthesis (NVS) aims to reconstruct HDR scenes from multi-exposure low dynamic range (LDR) images. Existing HDR pipelines heavily rely on known camera poses, well-initialized dense point clouds, and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Dingqiang Ye , Jiacong Xu , Jianglu Ping , Yuxiang Guo , Chao Fan , Vishal M. Patel

High Dynamic Range (HDR) videos are able to represent wider ranges of contrasts and colors than Standard Dynamic Range (SDR) videos, giving more vivid experiences. Due to this, HDR videos are expected to grow into the dominant video…

Image and Video Processing · Electrical Eng. & Systems 2024-03-25 Abhinau K. Venkataramanan , Alan C. Bovik

Recently, high dynamic range (HDR) image reconstruction based on the multiple exposure stack from a given single exposure utilizes a deep learning framework to generate high-quality HDR images. These conventional networks focus on the…

Image and Video Processing · Electrical Eng. & Systems 2020-12-21 Jung Hee Kim , Siyeong Lee , Suk-Ju Kang

High Dynamic Range (HDR) content (i.e., images and videos) has a broad range of applications. However, capturing HDR content from real-world scenes is expensive and time-consuming. Therefore, the challenging task of reconstructing visually…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Hrishav Bakul Barua , Kalin Stefanov , KokSheik Wong , Abhinav Dhall , Ganesh Krishnasamy

High-dynamic-range (HDR) formats and displays are becoming increasingly prevalent, yet state-of-the-art image generators (e.g., Stable Diffusion and FLUX) typically remain limited to low-dynamic-range (LDR) output due to the lack of…

Computer Vision and Pattern Recognition · Computer Science 2026-02-05 Ronghuan Wu , Wanchao Su , Kede Ma , Jing Liao , Rafał K. Mantiuk

Immersive displays such as VR headsets, AR glasses, Multiview displays, Free point televisions have emerged as a new class of display technologies in recent years, offering a better visual experience and viewer engagement as compared to…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Rohit Choudhary , Mansi Sharma , Aditya Wadaskar

This paper study the reconstruction of High Dynamic Range (HDR) video from snapshot-coded LDR video. Constructing an HDR video requires restoring the HDR values for each frame and maintaining the consistency between successive frames. HDR…

Image and Video Processing · Electrical Eng. & Systems 2021-12-07 Masheal Alghamdi , Qiang Fu , Ali Thabet , Wolfgang Heidrich

High dynamic range (HDR) imaging enables to immortalize natural scenes similar to the way that they are perceived by human observers. With regular low dynamic range (LDR) capture/display devices, significant details may not be preserved in…

Computer Vision and Pattern Recognition · Computer Science 2021-05-26 Diclehan Karakaya , Oguzhan Ulucan , Mehmet Turkan

Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos. Several recent diffusion-based methods have shown comparable performance by…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Kihong Kim , Haneol Lee , Jihye Park , Seyeon Kim , Kwanghee Lee , Seungryong Kim , Jaejun Yoo

High Dynamic Range Novel View Synthesis (HDR NVS) seeks to learn an HDR 3D model from Low Dynamic Range (LDR) training images captured under conventional imaging conditions. Current methods primarily focus on static scenes, implicitly…

Computer Vision and Pattern Recognition · Computer Science 2026-01-29 Kaixuan Zhang , Zhipeng Xiong , Minxian Li , Mingwu Ren , Jiankang Deng , Xiatian Zhu

As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynamic range (LDR) images, one of the critical steps is the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Haesoo Chung , Nam Ik Cho

This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid development of video technology, especially High Dynamic Range (HDR)…

Reconstructing High Dynamic Range (HDR) video from image sequences captured with alternating exposures is challenging, especially in the presence of large camera or object motion. Existing methods typically align low dynamic range sequences…

Computer Vision and Pattern Recognition · Computer Science 2024-03-07 Gangwei Xu , Yujin Wang , Jinwei Gu , Tianfan Xue , Xin Yang

We introduce HIDRO-VQA, a no-reference (NR) video quality assessment model designed to provide precise quality evaluations of High Dynamic Range (HDR) videos. HDR videos exhibit a broader spectrum of luminance, detail, and color than…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Shreshth Saini , Avinab Saha , Alan C. Bovik

High dynamic range (HDR) imaging is an indispensable technique in modern photography. Traditional methods focus on HDR reconstruction from multiple images, solving the core problems of image alignment, fusion, and tone mapping, yet having a…

Image and Video Processing · Electrical Eng. & Systems 2022-10-31 Phuoc-Hieu Le , Quynh Le , Rang Nguyen , Binh-Son Hua

Camera sensors can only capture a limited range of luminance simultaneously, and in order to create high dynamic range (HDR) images a set of different exposures are typically combined. In this paper we address the problem of predicting…

Computer Vision and Pattern Recognition · Computer Science 2017-11-28 Gabriel Eilertsen , Joel Kronander , Gyorgy Denes , Rafał K. Mantiuk , Jonas Unger

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.…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Soo Ye Kim , Jihyong Oh , Munchurl Kim