Super-resolution reconstruction of high dynamic range images in a perceptually uniform domain
Journal article, 2013

Super resolution is a signal processing method that utilizes information from multiple degraded images of the same scene in order to reconstruct an image with enhanced spatial resolution. The method is typically employed on similarly exposed pixel valued images, but it can be extended to differently exposed images with a high combined dynamic range. We propose a novel formulation of the joint super-resolution, high dynamic range image reconstruction problem, using an image domain in which the residual function of the inverse problem relates to the perception of the human visual system. Simulated results are presented, including a comparison with a conventional method, demonstrating that the proposed approach avoids some severe reconstruction artifacts.

human visual system

dynamic range

super-resolution

regularization

image reconstruction

Author

Tomas Bengtsson

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Irene Yu-Hua Gu

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Optical Engineering

0091-3286 (ISSN)

Vol. 52 10

Areas of Advance

Information and Communication Technology

Transport

Subject Categories

Computer and Information Science

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1117/1.OE.52.10.102003

More information

Created

10/7/2017