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Infrared image detail enhancement based on local adaptive gamma correction
Authors:Bin Liu  Xia Wang  Weiqi Jin  Yan Chen  Chongliang Liu  and Xiu Liu
Institution:Key Laboratory of Photoelectronic Imaging Technology and System (Beijing Institute of Technology), Ministry of Education, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
Abstract:An infrared image detail enhancement method based on local adaptive gamma correction (LAGC) is proposed. The local adaptive gamma values are designed based on the Weber curve to enhance effectively the image details. Subsequently, the active grayscale range of the image processed by LAGC is further extended by using our proposed histogram statistical stretching. The experimental results show that the proposed algorithm could considerably increase the image details and improve the contrast of the entire image. Thus, it has significant potential for practical applications.
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