title: Infrared image detail enhancement based on the gradient field specification.
abstract: Human vision is sensitive to the changes of local image details, which are actually image gradients. To enhance faint infrared image details, this article proposes a gradient field specification algorithm. First we define the image gradient field and gradient histogram. Then, by analyzing the characteristics of the gradient histogram, we construct a Gaussian function to obtain the gradient histogram specification and therefore obtain the transform gradient field. In addition, subhistogram equalization is proposed based on the histogram equalization to improve the contrast of infrared images. The experimental results show that the algorithm can effectively improve image contrast and enhance weak infrared image details and edges. As a result, it can give qualified image information for different applications of an infrared image. In addition, it can also be applied to enhance other types of images such as visible, medical, and lunar surface.
authors.forename: Wenda
authors.initials: W
authors.lastname: Zhao
authors.forename: Zhijun
authors.initials: Z
authors.lastname: Xu
authors.forename: Jian
authors.initials: J
authors.lastname: Zhao
authors.forename: Fan
authors.initials: F
authors.lastname: Zhao
authors.forename: Xizhen
authors.initials: X
authors.lastname: Han
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000295:instrumentation*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007259:Infrared Rays; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity