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IMAGING
2004
15 years 8 months ago
Minimizing the Perception of Chromatic Noise in Digital Images
: A psychophysical experiment was performed to measure the visibility of chromatic noise. Through Principle Component Analysis (PCA) on the results of this experiment, an orthogona...
Xiaoyan Song, Garrett M. Johnson, Mark D. Fairchil...
ICDAR
2007
IEEE
16 years 1 months ago
Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
J. Chen, Y. Wang
ICDAR
1999
IEEE
15 years 11 months ago
Skew Detection via Principal Components Analysis
Skew detection via principal components is proposed as an e ective methodforimageswhich contain other parts than text. It is shown that the negative of the image leads to much mor...
Tal Steinherz, Nathan Intrator, Ehud Rivlin
IBPRIA
2007
Springer
16 years 29 days ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
ICDAR
2009
IEEE
15 years 4 months ago
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
Minoru Maruyama, Takuma Yamaguchi