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Algorithms 2014, 7(4), 597-607; doi:10.3390/a7040597

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

Department of Computer Science and Information Engineering, National Chin Yi University of Technology, Taichung 41170, Taiwan
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Received: 11 June 2014 / Revised: 17 October 2014 / Accepted: 20 October 2014 / Published: 28 October 2014
(This article belongs to the Special Issue Advanced Data Processing Algorithms in Engineering)
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Abstract

The Eight-Scale parameter adjustment is a natural extension of Adaptive Inverse Hyperbolic Tangent (AIHT) 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. The main goal of this study is to produce a contrast enhancement technique to recover an image from blurring and darkness, and at the same time to improve visual quality. Eight-scale coefficient adjustments can provide a further local refinement in detail under the AIHT algorithm. The proposed Eight-Scale Adaptive Inverse Hyperbolic Tangent (8SAIHT) method uses the sub-band to calculate the local mean and local variance before the AIHT algorithm is applied. This study also shows that this approach is convenient and effective in the enhancement processes for various types of images. The 8SAIHT is also capable of adaptively enhancing the local contrast of the original image while simultaneously extruding more on object details. View Full-Text
Keywords: eight-scale; sub-band; adaptive inverse hyperbolic tangent; contrast enhancement eight-scale; sub-band; adaptive inverse hyperbolic tangent; contrast enhancement
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yu, C.-Y.; Lin, C.-Y.; Yang, S.-C.; Lin, H.-Y. Eight-Scale Image Contrast Enhancement Based on Adaptive Inverse Hyperbolic Tangent Algorithm. Algorithms 2014, 7, 597-607.

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