IEEE Transactions on Consumer Electronics · 2005 · 182 citations · 16 references
Input HistogramImage AnalysisMachine VisionEngineeringEdge DetectionPattern RecognitionColor CorrectionHistogram Specification TechniqueComputational ImagingTexture AnalysisDynamic Histogram SpecificationSpatial FilteringImage EnhancementDynamic Contrast EnhancementComputer VisionRadiologyHealth Sciences
A novel contrast enhancement algorithm is proposed. The proposed approach enhances the contrast without losing the original histogram characteristics, which is based on the histogram specification technique. It is expected to eliminate the annoying side effects effectively by using the differential information from the input histogram. The experimental results show that the proposed dynamic histogram specification (DHS) algorithm not only keeps the original histogram shape features but also enhances the contrast effectively. Moreover, the DHS algorithm can be applied by simple hardware and processed in real-time system due to its simplicity.
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