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KES
2008
Springer
13 years 4 months ago
Super Resolution of Multispectral Images Using TV Image Models
Abstract. In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formu...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
ICIP
2006
IEEE
14 years 6 months ago
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques
In this paper we present a new super resolution Bayesian method for pansharpening of multispectral images which: a) incorporates prior knowledge on the expected characteristics of...
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos...
ITIIS
2010
240views more  ITIIS 2010»
13 years 3 months ago
Super-Resolution Iris Image Restoration using Single Image for Iris Recognition
Iris recognition is a biometric technique which uses unique iris patterns between the pupil and sclera. The advantage of iris recognition lies in high recognition accuracy; howeve...
Kwang Yong Shin, Byung Jun Kang, Kang Ryoung Park
PAMI
2010
337views more  PAMI 2010»
13 years 3 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
ICASSP
2007
IEEE
13 years 11 months ago
Super Resolution Approaches for Photometrically Diverse Image Sequences
Super resolution (SR) is a well-known technique to increase the quality of an image using multiple overlapping pictures of a scene. SR requires accurate registration of the images...
Murat Gevrekci, Bahadir K. Gunturk