Title
Regularized optimization for joint super-resolution and high dynamic range image reconstruction in a perceptually uniform domain.
Abstract
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 that gap and present some image reconstruction results.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288078
ICASSP
Keywords
Field
DocType
image enhancement,image reconstruction,image resolution,high dynamic range fusion,high dynamic range image reconstruction,human perception,human visual system,image resolution enhancement,joint super-resolution,perceptually uniform domain,pixel domain,regularized optimization,Dynamic Range,Human Visual System,Image Reconstruction,Regularization,Super-Resolution
Iterative reconstruction,Computer vision,Feature detection (computer vision),Human visual system model,Computer science,Sub-pixel resolution,Pixel,Artificial intelligence,Image restoration,Image resolution,High dynamic range
Conference
ISSN
Citations 
PageRank 
1520-6149
6
0.45
References 
Authors
14
4
Name
Order
Citations
PageRank
Tomas Bengtsson1132.34
Gu, I.Y.-H.2927.09
Mats Viberg31043126.67
Lindstrom, K.460.45