An analytical optimization model for infrared image enhancement via local context

作者：Xu, Yongjian; Liang, Kun^*; Xiong, Yiru; Wang, Hui

来源：Infrared Physics & Technology, 2017, 87: 143-152.

DOI：10.1016/j.infrared.2017.10.002

• Infrared
• Histogram enhancement
• Analytical model
• Context-sensitive

The requirement for high-quality infrared images is constantly increasing in both military and civilian areas, and it is always associated with little distortion and appropriate contrast, while infrared images commonly have some shortcomings such as low contrast. In this paper, we propose a novel infrared image histogram enhancement algorithm based on local context. By constraining the enhanced image to have high local contrast, a regularized analytical optimization model is proposed to enhance infrared images. The local contrast is determined by evaluating whether two intensities are neighbors and calculating their differences. The comparison on 8-bit images shows that the proposed method can enhance the infrared images with more details and lower noise.

• 出版日期2017-12
• 单位华中科技大学