Super-resolution reconstruction of high dynamic range images with perceptual weighting of errors
Paper i 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

Författare

Tomas Bengtsson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Irene Yu-Hua Gu

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

IEEE Int'l conf on ASSP (ICASSP 2013)

1520-6149 (ISSN)

2212-2216

Styrkeområden

Informations- och kommunikationsteknik

Transport

Ämneskategorier

Data- och informationsvetenskap

Signalbehandling

Datorseende och robotik (autonoma system)

DOI

10.1109/ICASSP.2013.6638047

ISBN

978-147990356-6