Adaptive gamma correction based on cumulative histogram for enhancing near-infrared images |
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| Institution: | 1. Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;2. South – Central University for Nationalities, Wuhan, Hubei 430074, China;3. Wuhan Donghu University, Wuhan, Hubei 430074, China;1. School of Automation, Huazhong University of Science and Technology, Wuhan, China;2. National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Wuhan, PR China;1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. Research Scholar, IKG PTU, Jalandhar, India;2. Department of CSE, BBSB Engineering College, Fatehgarh Sahib, Punjab, India;3. Department of ECE, SLIET, Longowal, Sangrur, Punjab, India;1. Department of Optoelectronic Technology, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. Science and Technology on Low-Light-Level Night Vision Laboratory, Xi’an 710065, China |
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| Abstract: | Histogram-based methods have been proven their ability in image enhancement. To improve low contrast while preserving details and high brightness in near-infrared images, a novel method called adaptive gamma correction based on cumulative histogram (AGCCH) is studied in this paper. This novel image enhancement method improves the contrast of local pixels through adaptive gamma correction (AGC), which is formed by incorporating a cumulative histogram or cumulative sub-histogram into the weighting distribution. Both qualitatively and quantitatively, experimental results demonstrate that the proposed image enhancement with the AGCCH method can perform well in brightness preservation, contrast enhancement, and detail preservation, and it is superior to previous state-of-the-art methods. |
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| Keywords: | Adaptive gamma correction (AGC) Cumulative histogram (CH) Near-infrared image |
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