Gamma correction enhancement of infrared night vision images using histogram processing M. I. Ashiba 1 & M. S. Tolba 1 & A. S. El-Fishawy 2 & F. E. Abd El-Samie 2 Received: 1 May 2018 /Revised: 29 November 2018 /Accepted: 18 December 2018 / Published online: 26 June 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract This paper presents two proposed approaches for enhancing the visibility of the infrared (IR) night vision images. The first approach is based on merging gamma correction with histogram matching (HM). On the other hand, the second approach depends on merging gamma correction with contrast limited adaptive histogram equalization (CLAHE). The HM depends on a reference visual image for converting IR night vision images into images with better visual quality. Quality metrics such as entropy, average gradient, and Sobel edge magnitude are used for performance evaluation of the proposed approaches. Keywords Night vision . Histogram equalization . Gamma correction . CLAHE . HM 1 Introduction The IR images are useful for a lot of applications such as military and civilian applications, especially health-care, battlefield surveillance, and traffic control applications. Fuzzy IR image enhancement has been considered to achieve contrast improvement and clear edge details in IR Multimedia Tools and Applications (2019) 78:27771–27783 https://doi.org/10.1007/s11042-018-7086-y * M. I. Ashiba engashiba@gmail.com M. S. Tolba maha_saad_tolba@yahoo.com A. S. El-Fishawy aelfishawy@hotmail.com F. E. Abd El-Samie fathi_sayed@yahoo.com 1 Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt 2 Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt Content courtesy of Springer Nature, terms of use apply. Rights reserved.