Regularized Optimization for Joint Super-Resolution and High Dynamoc Range Image Reconstruction in a Percetually Uniform Domain.
Paper in proceedings, 2012

This paper discusses resolution enhancement of a set of images with varying exposure durations, having a high combined dynamic range. So far, little has been said in relation to the Human Visual System when it comes to Super-Resolution and High Dynamic Range fusion, unlike the case for traditional Super-Resolution where errors are measured with respect to human perception in the pixel domain. We propose a Super-Resolution method in the L*a*b* domain to bridge the gap and present some image reconstruction results.

Human Visual System

Super-Resolution

Regularization

Image Reconstruction

Dynamic Range

Author

Tomas Bengtsson

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

Irene Yu-Hua Gu

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

Mats Viberg

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

Konstantin Lindström

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

15206149 (ISSN)

1097-1100 6288078

Areas of Advance

Information and Communication Technology

Transport

Subject Categories

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1109/ICASSP.2012.6288078

ISBN

978-146730046-9

More information

Created

10/6/2017