Modulated AIHT Image Contrast Enhancement Algorithm based on Contrast-Limited Adaptive Histogram Equalization
Autor: | Hsueh-Yi Lin, Tzu-Wei Yu, Cheng-Yi Yu |
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Rok vydání: | 2013 |
Předmět: |
Numerical Analysis
Contrast enhancement business.industry Applied Mathematics media_common.quotation_subject Image contrast Computer Science Applications Inverse hyperbolic function Computational Theory and Mathematics Chromatic aberration Modulation (music) Contrast (vision) Computer vision Adaptive histogram equalization Artificial intelligence business Algorithm Analysis media_common Mathematics |
Zdroj: | Applied Mathematics & Information Sciences. 7:449-454 |
ISSN: | 2325-0399 1935-0090 |
DOI: | 10.12785/amis/072l10 |
Popis: | 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 en hance local contrast. Therefore, we proposed a Contrast- Limited Adaptive Histogram Equalization (CLAHE) modulation based on AIHTcontrast 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. |
Databáze: | OpenAIRE |
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