Histogram Equalization (HE) is an effective technique for contrast enhancement. However, the traditional HE method usually results in extreme over-enhancement, which causes the unnatural look and visual artifacts in the processed image. To solve the problem, we propose a novel Modulated Histogram Equalization (MHE) image contrast enhancement algorithm based on Adaptive Inverse Hyperbolic Tangent (AIHT) algorithm. The AIHT has long been known that the Human Vision System (HVS) heavily depends on details and edges in understanding its perception of scenes. The new method is capable of doing image contrast enhancement adaptively and globally, while extruding the details of objects simultaneously.
關聯:
World Academy of Science, Engineering and Technology
