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KES
2008
Springer
14 years 10 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
15 years 11 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»
14 years 8 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»
14 years 8 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
15 years 4 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