Work

Foveated HDR: Efficient HDR Content Generation on Edge Devices Leveraging User's Visual Attention

Year: 2024

Type: conference-paper

Abstract: In recent years, high dynamic range (HDR) content has become increasingly popular for its ability to represent a broader brightness range, enhancing the realism and immersion in applications like augmented reality/virtual reality (AR/VR) on edge devices. While DNN-based solutions are effective for reconstructing high-fidelity HDR content, due to their high computational demands and memory usage, the DNN-based HDR reconstruction takes up to several seconds to generate one HDR image, making it very challenging to deploy such techniques onto the edge devices.

DOI: 10.1145/3676536.3676729

Authors: Ziyu Ying, Sandeepa Bhuyan, Yingtian Zhang, Yan Kang, Mahmut T. Kandemir, Chita R. Das

Institution: Pennsylvania State University

Language: English

Topic: Image Enhancement Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: National Science Foundation

Awards: Frameworks: Re-Engineering Galaxy for Performance, Scalability and Energy Efficiency, CNS Core: Small: Embracing cross stack heterogeneity in next-generation cloud platforms, SHF: Medium: Exploring an Edge Platform Design Trajectory for Next Generation XR Applications

OpenAlex ID: W4409285535

FWCI: 0.632

Cites: 28

Cited by: 3

Related to: 10