Title | ||
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Regularized optimization for joint super-resolution and high dynamic range image reconstruction in a perceptually uniform domain. |
Abstract | ||
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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 |
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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 Bengtsson | 1 | 13 | 2.34 |
Gu, I.Y.-H. | 2 | 92 | 7.09 |
Mats Viberg | 3 | 1043 | 126.67 |
Lindstrom, K. | 4 | 6 | 0.45 |