AUTOMATIC CONTRAST ENHANCEMENT BY HISTOGRAM WARPING
| Autor: | Neil A. Dodgson, Mark Grundland |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Computer science
Dynamic range business.industry media_common.quotation_subject Kernel density estimation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Pattern recognition Computer Science::Computer Vision and Pattern Recognition Histogram Contrast (vision) Adaptive histogram equalization Computer vision Artificial intelligence Image warping business Histogram equalization media_common |
| Zdroj: | Computational Imaging and Vision ISBN: 9781402041785 ICCVG |
| DOI: | 10.1007/1-4020-4179-9_42 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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