Eight-Scale Image Contrast Enhancement Based on Adaptive Inverse Hyperbolic Tangent Algorithm

The Eight-Scale parameter adjustment is a nature extending of Adaptive Inverse Hyperbolic Tangent (8SAIHT) algorithm. It has long been known that the Human Vision System (HVS) heavily depends on detail and edge in the understanding and perception of scenes. Our main goal is to produce a contrast enhancement technique to recover an image from a blurred and darkness, also improve visual quality at the same time. Eight-scale coefficients adjustments can provide a further local refinement in detail under the Adaptive Inverse Hyperbolic Tangent (AIHT) algorithm. The proposed 8SAIHT method is using the sub-band to calculate the local mean and local variance before the AIHT algorithm is performed. We also show that this approach is convenient and effective to do the enhancement process for a various types of images. The 8SAIHT is also capable of enhancing the local contrast of the original image adaptively while extruding more on the details of objects simultaneously.