An Automated Multi-dimensional Contrast Enhancement Technique

J.C. Meyer and F.D. Zyda (USA)


Image manipulation, image quality, dynamic range.


This paper introduces an automatic image enhancement technique that analyzes color histograms across multiple dimensions of imagery (e.g. a time and/or space image series, such as videos and volumes). This analysis produces a nonlinear tone mapping transform that improves contrast and brightness, maintains relative color values, and preserves data from the original imagery. Visually improving such multi-dimensional imagery without the expense of data loss and color shift is done by computing a composite histogram, then analyzing that histogram to produce a transformation function, which is then applied.

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