Independent component analysis: algorithms and applications
Neural Networks
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Digital image analysis to enhance underwritten text in the Archimedes palimpsest
International Journal on Document Analysis and Recognition
Visual enhancement of old documents with hyperspectral imaging
Pattern Recognition
Multispectral Filter-Wheel Cameras: Geometric Distortion Model and Compensation Algorithms
IEEE Transactions on Image Processing
Can modern technologies defeat nazi censorship?
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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This paper presents image acquisition and readability enhancement techniques based on multispectral imaging. In an interdisciplinary manuscript and palimpsest research project an imaging system using a combination of LED illumination and spectral filtering was developed. On basis of the resulting multispectral image information the readability of the texts is enhanced and palimpsest texts are made visible by applying two different methods of Blind Source Separation, namely Principal Component Analysis and Independent Component Analysis.