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» Vision Models for Image Quality Assessment: One is Not Enoug...
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HVEI
2010
13 years 3 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
ICPR
2002
IEEE
13 years 10 months ago
Graphics Recognition from Binary Images: One Step or Two Steps
Recognizing graphic objects from binary images is an important task in many real-life applications. Generally, there are two ways to do the graphics recognition: onestep methods a...
Jiqiang Song, Min Cai, Michael R. Lyu, Shijie Cai
PAMI
2006
126views more  PAMI 2006»
13 years 5 months ago
Estimation of Nonlinear Errors-in-Variables Models for Computer Vision Applications
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Bogdan Matei, Peter Meer
ICPR
2002
IEEE
14 years 6 months ago
Registration and Fusion of Retinal Images: A Comparative Study
We present a new method to register high and low resolution color images of the retina as well as high resolution angiographies. The registration method is based on global point m...
France Laliberté, Langis Gagnon, Yunlong Sh...
CVPR
2004
IEEE
14 years 7 months ago
Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
In this paper, we propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designe...
Miodrag Dimitrijevic, Slobodan Ilic, Pascal Fua