Modulated AIHT Image Contrast Enhancement Algorithm based on Contrast-Limited Adaptive Histogram Equalization
Cheng-Yi Yu, Hsueh-Yi Lin, Tzu‐Wei Yu · Applied Mathematics & Information Sciences · 2013
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 Contrast-Limited 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.