Super-resolution reconstruction of high dynamic range images with perceptual weighting of errors
Paper in proceeding, 2013

Super-Resolution and High Dynamic Range image reconstruction are two different signal processing techniques that share in common that they utilize information from multiple observations of the same scene to enhance visual image quality. In this paper, both techniques are merged in a common model, and the focus is to solve the reconstruction problem in a suitable image domain, which relates to the perception of the Human Visual System. Simulated results are presented, including a comparison with a conventional method, demonstrating the benefits of the proposed approach, in this case avoiding some severe reconstruction artifacts.

Super-Resolution

dynamic range

regularization

image reconstruction

human visual system

Author

Tomas Bengtsson

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Tomas McKelvey

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

2212-2216
978-147990356-6 (ISBN)

Areas of Advance

Information and Communication Technology

Transport

Subject Categories

Computer and Information Science

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1109/ICASSP.2013.6638047

ISBN

978-147990356-6

More information

Latest update

10/5/2023