Automatic Contrast Enhancement by Histogram Warping
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Email: Mark@Eyemaginary.com
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Citation:
Automatic Contrast Enhancement by Histogram Warping
Mark Grundland and Neil A. Dodgson
Computational Imaging and Vision, vol. 32, pp. 293-300, Springer, (2004). ISBN 1402041780.
Presented as a talk at the International Conference on Computer Vision and Graphics (Warsaw, Poland, 22-24 September 2004).
Abstract:
We present an automated algorithm for global contrast enhancement of images with multimodal histograms. To locate modes and valleys, histogram analysis is performed by kernel density estimation, a robust nonparametric statistical method. Histogram warping by monotonic splines pushes the modes apart, spreading them out more evenly across the dynamic range. This technique can assist in the contrast correction of images taken facing the light source.
Online:
Paper + Poster + Presentation
Applications:
Automatic Tracking of Escherichia Coli in Phase-Contrast Microscopy Video
J. Xie, S. Khan, and M. Shah
IEEE Transactions on Biomedical Engineering, no. 2, vol. 56, pp. 390-399, (2009).
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