Contrast Limited Adaptive Histogram Equalization

Zuiderveld, Karel J.

doi:10.1016/b978-0-12-336156-1.50061-6

Cited by 3,004 publications

(1,623 citation statements)

References 4 publications

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“…To enhance the contrast we use an advanced contrast enhancement technique called CLAHE (Contrast Limited Adaptive Histogram Equalization) [8]. Compared to other contrast enhancement algorithms (e.g.…”

Section: Image Preprocessingmentioning

confidence: 99%

Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors

Vécsei

Fuhrmann

Liedlgruber

et al. 2009

Computer Methods and Programs in Biomedicine

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Feature extraction techniques based on selection of highly discriminant Fourier filters have been developed for an automated classification of magnifying endoscope images with respect to pit patterns of colon lesions. These are applied to duodenal imagery for diagnosis of celiac disease. Features are extracted from the Fourier domain by selecting the most discriminant features using an evolutionary algorithm. Subsequent classification is performed with various standard algorithms (KNN, SVM, Bayes classifier) and combination of several Fourier filters and classifiers which is called multiclassifier.The obtained results are promising, due to a high specificity for the detection of mucosal damage typical of untreated celiac disease.

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Section: Image Preprocessingmentioning

confidence: 99%

Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors

Vécsei

Fuhrmann

Liedlgruber

et al. 2009

Computer Methods and Programs in Biomedicine

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“…CLAHE is Contrast Limited Adaptive Histogram Equalization. It operates on small regions of the image [22].These small regions are called tiles. The bilinear interpolation is used to combine these small regions of the image.…”

Section: Proposed Systemmentioning

confidence: 99%

Contrast Enhancement of Color Images Using Improved Retinex Method

.¹

2014

IJRET

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“…The pixel's intensity is thus transformed to a value within the display range proportional to the pixel intensity's rank in the local intensity histogram. The CLAHE was originally developed for medical imaging and has proven to be successful for enhancement of low-contrast images such as portal films [11,12,13,14,15].…”

Section: Contrast-limited Adaptive Histogram Equalization (Clahe)mentioning

confidence: 99%

Modulated AIHT Image Contrast Enhancement Algorithm based on Contrast-Limited Adaptive Histogram Equalization

Yu¹,

Lin²,

Yu³

2013

Appl. Math. Inf. Sci.

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Abstract:The Adaptive Inverse Hyperbolic Tangent (AIHT) algorithm is capable of enhancing the global contrast of the original image adaptively, while extruding the details of objects simultaneously, cannot enhance local contrast. Therefore, we proposed a ContrastLimited Adaptive Histogram Equalization (CLAHE) modulation based on AIHT contrast enhancement algorithm from conjugate AIHT and CLAHE image contrast enhance algorithm. The CLAHE has good contrast enhance performance, but excessive contrast enhance will produce the serious chromatic aberration results. We apply the AIHT and CLAHE advantage to present a joint multiple processes algorithm of contrast enhancement to achieve better contrast enhancement effect.

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Contrast Limited Adaptive Histogram Equalization

Cited by 3,004 publications

References 4 publications

Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors

Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors

Contrast Enhancement of Color Images Using Improved Retinex Method

Modulated AIHT Image Contrast Enhancement Algorithm based on Contrast-Limited Adaptive Histogram Equalization

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