- 期刊
- OpenAccess
An AIHT based Histogram Equalization Algorithm for Image Contrast Enhancement
並列摘要
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.
延伸閱讀
- Zhuang, L., & Guan, Y. (2017). Image Enhancement via Subimage Histogram Equalization Based on Mean and Variance. Computational Intelligence and Neuroscience, 2017(), 1-12. https://doi.org/10.1155/2017/6029892
- Chung-Cheng Chiu、Sheng-Yi Chiu、Han-Ni Yang、Jia-Horng Yang（2015）。Image Contrast Enhancement Algorithm Based on Discriminant Analysis。中正嶺學報，44(1)，1-8。https://www.airitilibrary.com/Article/Detail?DocID=P20221212001-N202303160011-00001
- Teng, C. Y. (2009). A Data Hiding Algorithm Based on Histogram Re-quantization [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2009.00050
- 林志明（2010）。Image Enhancement Based on Histogram Equalizationand Image Fusion〔碩士論文，朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-0601201112113029
- Meenal, R. M., & Rao, Y. V. R. (2012). Modified Dynamic Histogram Equalization For Image Enhancement in Gray-scale Images. Research Journal of Applied Sciences, Engineering and Technology, 4(24), 5325-5331. https://www.airitilibrary.com/Article/Detail?DocID=20407467-201212-201512090022-201512090022-5325-5331