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Adaptive histogram equalization

Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image. It…

Regions, Motivation and explanation of the method & Efficient computation by interpolation

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Motivation and explanation of the method

Image histogramCumulative distribution function
2 related topics

Efficient computation by interpolation

Bilinearly interpolatedLinearly interpolated
2 related topics

Properties of AHE

Characteristic length
1 related topics

Overview

Image processingContrastHistogram equalizationHistogramsNoise
6 related topics

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Overview

Motivation and explanation of the method

Properties of AHE

Efficient computation by interpolation

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Adaptive histogram equalization

Nodes16
Edges15
Triples40
Avg. degree1.88
Density0.125
Components1

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Adaptive histogram equalization

Top relations

related to Contrast Limited AHE · 10
Adaptive histogram equalization → AHE, As, CDF, CLAHE, Common, Contrast Limited AHE, In AHE, Ordinary AHE, The, This
related to Motivation and explanation of the method · 9
Adaptive histogram equalization → Adaptive, AHE, CDF, However, In, It, Ordinary, The, This
related to References · 8
Adaptive histogram equalization → Conf, Dec, Effectiveness, Int, Proc, Ramesh, Video Image Process, Vidhya
related to Efficient computation by interpolation · 7
Adaptive histogram equalization → Adaptive, All, CDF, Interpolation, Pixels, The, This
related to Efficient computation by incremental update of histogram · 6
Adaptive histogram equalization → An, Equalization, N², Sliding Window Adaptive Histogram, SWAHE, The

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Important terminology

histogram image pixel contrast equalization ahe transformation neighbourhood adaptive pixels function value values region result regions amplification interpolation method limited

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Adaptive histogram equalizationrelated to Contrast Limited AHEOrdinary AHE0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHEAs0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHEAHE0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHEContrast Limited AHE0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHECLAHE0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHEIn AHE0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHEThis0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHECDF0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHEThe0.60section
Adaptive histogram equalizationrelated to Contrast Limited AHECommon0.60section
Adaptive histogram equalizationrelated to Efficient computation by incremental update of histogramAn0.60section
Adaptive histogram equalizationrelated to Efficient computation by incremental update of histogramThe0.60section

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