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Histogram Specification: A Fast and Flexible Method to Process Digital Images

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3 Author(s)
Gabriel Thomas ; Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Canada ; Daniel Flores-Tapia ; Stephen Pistorius

Histogram specification has been successfully used in digital image processing over the years. Mainly used as an image enhancement technique, methods such as histogram equalization (HE) can yield good contrast with almost no effort in terms of inputs to the algorithm or the computational time required. More elaborate histograms can take on problems faced by HE at the expense of having to define the final histograms in innovative ways that may require some extra processing time but are nevertheless fast enough to be considered for real-time applications. This paper proposes a new technique for specifying a histogram to enhance the image contrast. To further evidence our faith on histogram specification techniques, we also discuss methods to modify images, e.g., to help segmentation approaches. Thus, as advocates of these techniques, we would like to emphasize the flexibility of this image processing approach to do more than enhancing images.

Published in:

IEEE Transactions on Instrumentation and Measurement  (Volume:60 ,  Issue: 5 )